id	sid	tid	token	lemma	pos
work_yhmhpetxjjertmjquf7qfk2lqm	1	1	PII	PII	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	1	3	S0957	s0957	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	4	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	1	5	4174(02)00042	4174(02)00042	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	6	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	1	7	8	8	CD
work_yhmhpetxjjertmjquf7qfk2lqm	1	8	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	9	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	10	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	11	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	12	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	13	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	15	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	16	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	17	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	1	18	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	19	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	20	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	22	*	*	NFP
work_yhmhpetxjjertmjquf7qfk2lqm	1	23	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	24	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	25	Arslan	Arslan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	26	b	b	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	27	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	28	E.	E.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	29	Ilkay	Ilkay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	30	c	c	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	31	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	32	Department	Department	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	33	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	34	Electronics	Electronics	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	1	35	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	1	36	Computer	Computer	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	37	Science	Science	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	38	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	39	Technical	Technical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	40	Education	Education	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	41	Faculty	Faculty	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	42	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	43	Firat	Firat	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	44	University	University	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	45	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	46	23119	23119	CD
work_yhmhpetxjjertmjquf7qfk2lqm	1	47	Elazig	Elazig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	48	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	49	Turkey	Turkey	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	50	b	b	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	51	Department	Department	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	52	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	53	Computer	Computer	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	54	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	55	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	56	Firat	Firat	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	57	University	University	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	58	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	59	23119	23119	CD
work_yhmhpetxjjertmjquf7qfk2lqm	1	60	Elazig	Elazig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	61	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	62	Turkey	Turkey	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	63	c	c	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	64	Department	Department	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	65	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	66	Cardiology	Cardiology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	67	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	68	Firat	Firat	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	69	University	University	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	70	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	71	23119	23119	CD
work_yhmhpetxjjertmjquf7qfk2lqm	1	72	Elazig	Elazig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	73	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	74	Turkey	Turkey	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	75	Abstract	Abstract	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	76	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	77	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	78	paper	paper	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	79	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	1	80	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	81	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	82	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	83	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	84	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	1	85	presented	present	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	1	86	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	87	interpretation	interpretation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	88	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	89	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	90	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	1	91	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	1	92	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	93	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	94	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	95	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	96	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	1	97	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	1	98	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	1	99	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	1	100	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	101	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	1	102	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	2	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	2	2	paper	paper	NN
work_yhmhpetxjjertmjquf7qfk2lqm	2	3	especially	especially	RB
work_yhmhpetxjjertmjquf7qfk2lqm	2	4	deals	deal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	2	5	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	2	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	2	7	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	2	8	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	2	9	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	2	10	measured	measure	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	2	11	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	2	12	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	2	13	waveforms	waveform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	2	14	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	2	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	2	16	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	2	17	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	2	18	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	2	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	2	20	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	2	21	Ultrasound	Ultrasound	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	2	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	3	1	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	3	2	transforms	transform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	3	3	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	3	4	short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	3	5	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	3	6	Fourier	fouri	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	3	7	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	3	8	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	3	9	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	3	10	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	3	11	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	3	12	feature	feature	VB
work_yhmhpetxjjertmjquf7qfk2lqm	3	13	extract	extract	VB
work_yhmhpetxjjertmjquf7qfk2lqm	3	14	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	3	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	3	16	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	3	17	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	3	18	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	3	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	3	20	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	3	21	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	3	22	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	3	23	domain	domain	NN
work_yhmhpetxjjertmjquf7qfk2lqm	3	24	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	4	1	Wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	4	2	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	4	3	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	4	4	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	4	5	applied	apply	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	4	6	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	4	7	these	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	4	8	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	4	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	5	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	5	2	back	back	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	5	3	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	5	4	propagation	propagation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	5	5	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	5	6	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	5	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	5	8	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	5	9	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	5	10	classify	classify	VB
work_yhmhpetxjjertmjquf7qfk2lqm	5	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	5	12	extracted	extract	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	5	13	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	5	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	6	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	6	2	performance	performance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	6	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	6	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	6	5	developed	developed	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	6	6	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	6	7	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	6	8	been	be	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	6	9	evaluated	evaluate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	6	10	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	6	11	215	215	CD
work_yhmhpetxjjertmjquf7qfk2lqm	6	12	samples	sample	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	6	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	7	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	7	2	test	test	NN
work_yhmhpetxjjertmjquf7qfk2lqm	7	3	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	7	4	showed	show	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	7	5	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	7	6	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	7	7	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	7	8	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	7	9	effective	effective	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	7	10	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	7	11	detect	detect	VB
work_yhmhpetxjjertmjquf7qfk2lqm	7	12	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	7	13	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	7	14	sounds	sound	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	7	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	8	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	8	2	correct	correct	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	8	3	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	8	4	rate	rate	NN
work_yhmhpetxjjertmjquf7qfk2lqm	8	5	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	8	6	about	about	RB
work_yhmhpetxjjertmjquf7qfk2lqm	8	7	94	94	CD
work_yhmhpetxjjertmjquf7qfk2lqm	8	8	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	8	9	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	8	10	normal	normal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	8	11	subjects	subject	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	8	12	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	8	13	95.9	95.9	CD
work_yhmhpetxjjertmjquf7qfk2lqm	8	14	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	8	15	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	8	16	abnormal	abnormal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	8	17	subjects	subject	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	8	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	9	1	q	q	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	9	2	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	9	3	Elsevier	Elsevier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	9	4	Science	Science	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	9	5	Ltd.	Ltd.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	9	6	All	all	DT
work_yhmhpetxjjertmjquf7qfk2lqm	9	7	rights	right	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	9	8	reserved	reserve	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	9	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	10	1	Keywords	keyword	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	10	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	3	Pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	4	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	5	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	6	Doppler	doppl	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	10	7	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	8	sounds	sound	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	10	9	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	10	Heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	11	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	10	12	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	13	Feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	14	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	15	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	16	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	10	17	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	18	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	19	Spectrograms	spectrogram	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	10	20	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	21	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	10	22	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	10	23	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	10	24	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	10	25	systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	10	26	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	10	27	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	11	1	Introduction	introduction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	11	2	Researches	Researches	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	11	3	showed	show	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	11	4	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	11	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	11	6	most	most	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	11	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	11	8	human	human	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	11	9	deaths	death	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	11	10	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	11	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	11	12	world	world	NN
work_yhmhpetxjjertmjquf7qfk2lqm	11	13	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	11	14	due	due	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	11	15	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	11	16	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	11	17	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	11	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	12	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	12	2	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	12	3	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	12	4	disorders	disorder	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	12	5	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	12	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	12	7	importance	importance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	12	8	among	among	IN
work_yhmhpetxjjertmjquf7qfk2lqm	12	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	12	10	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	12	11	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	12	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	13	1	Among	among	IN
work_yhmhpetxjjertmjquf7qfk2lqm	13	2	them	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	13	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	13	4	mitral	mitral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	13	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	13	6	aortic	aortic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	13	7	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	13	8	disorders	disorder	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	13	9	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	13	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	13	11	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	13	12	common	common	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	13	13	ones	one	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	13	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	14	1	For	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	14	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	14	3	reason	reason	NN
work_yhmhpetxjjertmjquf7qfk2lqm	14	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	14	5	early	early	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	14	6	detection	detection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	14	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	14	8	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	14	9	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	14	10	disorders	disorder	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	14	11	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	14	12	one	one	CD
work_yhmhpetxjjertmjquf7qfk2lqm	14	13	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	14	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	14	15	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	14	16	important	important	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	14	17	medical	medical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	14	18	research	research	NN
work_yhmhpetxjjertmjquf7qfk2lqm	14	19	areas	area	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	14	20	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	14	21	Akay	Akay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	14	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	14	23	Akay	Akay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	14	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	14	25	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	14	26	Welkowitz	Welkowitz	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	14	27	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	14	28	1992	1992	CD
work_yhmhpetxjjertmjquf7qfk2lqm	14	29	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	14	30	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	15	1	Today	today	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	15	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	15	4	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	15	5	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	6	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	15	7	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	8	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	15	9	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	10	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	11	disorders	disorder	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	12	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	15	13	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	15	14	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	15	15	invasive	invasive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	15	16	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	17	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	15	18	electrocardiograms	electrocardiogram	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	15	20	chest	chest	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	21	X	X	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	22	-	-	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	23	rays	ray	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	15	25	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	26	sounds	sound	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	15	27	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	15	28	murmur	murmur	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	15	29	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	15	30	stethoscope	stethoscope	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	15	31	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	15	32	ultrasound	ultrasound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	33	imaging	imaging	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	34	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	15	35	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	15	36	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	37	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	15	38	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	15	39	invasive	invasive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	15	40	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	15	41	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	15	42	angiography	angiography	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	43	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	15	44	transozefagial	transozefagial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	15	45	echocardiograph	echocardiograph	NN
work_yhmhpetxjjertmjquf7qfk2lqm	15	46	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	15	47	Nanda	Nanda	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	15	48	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	15	49	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	15	50	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	15	51	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	16	1	However	however	RB
work_yhmhpetxjjertmjquf7qfk2lqm	16	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	16	3	each	each	DT
work_yhmhpetxjjertmjquf7qfk2lqm	16	4	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	16	5	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	16	6	limited	limited	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	16	7	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	16	8	its	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	16	9	ability	ability	NN
work_yhmhpetxjjertmjquf7qfk2lqm	16	10	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	16	11	offer	offer	VB
work_yhmhpetxjjertmjquf7qfk2lqm	16	12	efficient	efficient	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	16	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	16	14	thorough	thorough	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	16	15	detection	detection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	16	16	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	16	17	characterization	characterization	NN
work_yhmhpetxjjertmjquf7qfk2lqm	16	18	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	16	19	Plett	Plett	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	16	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	16	21	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	16	22	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	16	23	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	17	1	All	all	DT
work_yhmhpetxjjertmjquf7qfk2lqm	17	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	17	3	these	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	17	4	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	17	5	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	17	6	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	17	7	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	17	8	experience	experience	NN
work_yhmhpetxjjertmjquf7qfk2lqm	17	9	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	17	10	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	17	11	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	17	12	physician	physician	NN
work_yhmhpetxjjertmjquf7qfk2lqm	17	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	18	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	18	2	researches	research	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	18	3	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	18	4	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	18	5	area	area	NN
work_yhmhpetxjjertmjquf7qfk2lqm	18	6	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	18	7	focused	focused	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	18	8	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	18	9	improving	improve	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	18	10	human	human	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	18	11	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	18	12	machine	machine	NN
work_yhmhpetxjjertmjquf7qfk2lqm	18	13	interfaces	interface	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	18	14	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	18	15	existing	exist	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	18	16	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	18	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	19	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	19	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	19	3	way	way	NN
work_yhmhpetxjjertmjquf7qfk2lqm	19	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	19	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	19	6	cardiologist	cardiologist	NN
work_yhmhpetxjjertmjquf7qfk2lqm	19	7	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	19	8	understand	understand	VB
work_yhmhpetxjjertmjquf7qfk2lqm	19	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	19	10	output	output	NN
work_yhmhpetxjjertmjquf7qfk2lqm	19	11	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	19	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	19	13	examination	examination	NN
work_yhmhpetxjjertmjquf7qfk2lqm	19	14	systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	19	15	more	more	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	19	16	easily	easily	RB
work_yhmhpetxjjertmjquf7qfk2lqm	19	17	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	19	18	diagnose	diagnose	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	19	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	19	20	problem	problem	NN
work_yhmhpetxjjertmjquf7qfk2lqm	19	21	more	more	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	19	22	accurately	accurately	RB
work_yhmhpetxjjertmjquf7qfk2lqm	19	23	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	19	24	Philpot	Philpot	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	19	25	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	19	26	Yoganathan	Yoganathan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	19	27	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	19	28	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	19	29	Nanda	Nanda	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	19	30	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	19	31	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	19	32	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	19	33	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	20	1	Doppler	doppler	NN
work_yhmhpetxjjertmjquf7qfk2lqm	20	2	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	20	3	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	20	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	20	5	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	20	6	preferred	preferred	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	20	7	because	because	IN
work_yhmhpetxjjertmjquf7qfk2lqm	20	8	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	20	9	their	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	20	10	completely	completely	RB
work_yhmhpetxjjertmjquf7qfk2lqm	20	11	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	20	12	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	20	13	invasive	invasive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	20	14	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	20	15	without	without	IN
work_yhmhpetxjjertmjquf7qfk2lqm	20	16	risk	risk	NN
work_yhmhpetxjjertmjquf7qfk2lqm	20	17	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	20	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	20	19	serial	serial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	20	20	studies	study	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	20	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	21	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	21	2	technique	technique	NN
work_yhmhpetxjjertmjquf7qfk2lqm	21	3	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	21	4	improved	improve	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	21	5	much	much	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	21	6	since	since	IN
work_yhmhpetxjjertmjquf7qfk2lqm	21	7	Satomura	Satomura	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	21	8	first	first	RB
work_yhmhpetxjjertmjquf7qfk2lqm	21	9	demonstrated	demonstrate	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	21	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	21	11	application	application	NN
work_yhmhpetxjjertmjquf7qfk2lqm	21	12	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	21	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	21	14	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	21	15	effect	effect	NN
work_yhmhpetxjjertmjquf7qfk2lqm	21	16	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	21	17	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	21	18	measurement	measurement	NN
work_yhmhpetxjjertmjquf7qfk2lqm	21	19	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	21	20	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	21	21	velocity	velocity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	21	22	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	21	23	1959	1959	CD
work_yhmhpetxjjertmjquf7qfk2lqm	21	24	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	21	25	Keeton	Keeton	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	21	26	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	21	27	Schlindwein	Schlindwein	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	21	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	21	29	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	21	30	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	21	31	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	22	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	22	2	recent	recent	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	22	3	years	year	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	22	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	22	5	Doppler	doppler	NN
work_yhmhpetxjjertmjquf7qfk2lqm	22	6	technique	technique	NN
work_yhmhpetxjjertmjquf7qfk2lqm	22	7	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	22	8	found	find	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	22	9	increasing	increase	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	22	10	use	use	NN
work_yhmhpetxjjertmjquf7qfk2lqm	22	11	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	22	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	22	13	assessment	assessment	NN
work_yhmhpetxjjertmjquf7qfk2lqm	22	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	22	15	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	22	16	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	22	17	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	22	18	Wright	Wright	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	22	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	22	20	Gough	Gough	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	22	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	22	22	Rakebrandt	Rakebrandt	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	22	23	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	22	24	Wahab	Wahab	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	22	25	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	22	26	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	22	27	Woodcock	Woodcock	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	22	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	22	29	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	22	30	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	22	31	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	23	1	Doppler	doppl	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	23	2	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	23	3	sounds	sound	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	23	4	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	23	5	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	23	6	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	23	7	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	23	8	one	one	CD
work_yhmhpetxjjertmjquf7qfk2lqm	23	9	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	23	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	23	11	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	23	12	important	important	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	23	13	sounds	sound	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	23	14	produced	produce	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	23	15	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	23	16	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	23	17	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	23	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	23	19	valves	valve	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	23	20	motion	motion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	23	21	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	23	22	vibration	vibration	NN
work_yhmhpetxjjertmjquf7qfk2lqm	23	23	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	23	24	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	23	25	other	other	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	23	26	cardiovascular	cardiovascular	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	23	27	components	component	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	23	28	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	23	29	Jing	Jing	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	23	30	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	23	31	Xuemin	Xuemin	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	23	32	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	23	33	Mingshi	Mingshi	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	23	34	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	23	35	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	23	36	Wie	Wie	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	23	37	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	23	38	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	23	39	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	23	40	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	24	1	However	however	RB
work_yhmhpetxjjertmjquf7qfk2lqm	24	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	24	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	24	4	factors	factor	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	24	5	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	24	6	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	24	7	calcified	calcify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	24	8	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	9	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	24	10	obesity	obesity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	11	often	often	RB
work_yhmhpetxjjertmjquf7qfk2lqm	24	12	results	result	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	24	13	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	24	14	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	24	15	diagnostically	diagnostically	RB
work_yhmhpetxjjertmjquf7qfk2lqm	24	16	unsatisfactory	unsatisfactory	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	24	17	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	18	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	24	19	assessment	assessment	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	20	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	24	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	24	22	there-	there-	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	23	fore	fore	RB
work_yhmhpetxjjertmjquf7qfk2lqm	24	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	24	25	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	24	26	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	24	27	sometimes	sometimes	RB
work_yhmhpetxjjertmjquf7qfk2lqm	24	28	necessary	necessary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	24	29	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	24	30	assess	assess	VB
work_yhmhpetxjjertmjquf7qfk2lqm	24	31	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	24	32	spectrogram	spectrogram	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	33	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	24	34	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	24	35	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	36	shift	shift	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	37	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	24	38	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	24	39	elucidate	elucidate	VB
work_yhmhpetxjjertmjquf7qfk2lqm	24	40	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	24	41	degree	degree	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	42	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	24	43	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	24	44	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	24	45	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	24	46	Wright	Wright	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	47	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	48	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	49	.	.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	24	50	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	24	51	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	24	52	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	24	53	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	25	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	25	2	major	major	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	25	3	motivation	motivation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	25	4	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	25	5	our	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	25	6	work	work	NN
work_yhmhpetxjjertmjquf7qfk2lqm	25	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	25	8	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	25	9	aid	aid	VB
work_yhmhpetxjjertmjquf7qfk2lqm	25	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	25	11	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	25	12	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	25	13	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	25	14	cases	case	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	25	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	26	1	Among	among	IN
work_yhmhpetxjjertmjquf7qfk2lqm	26	2	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	3	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	26	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	26	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	26	6	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	26	7	ubiquitous	ubiquitous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	26	8	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	26	9	straightforward	straightforward	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	26	10	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	26	11	waveform	waveform	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	26	12	profile	profile	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	13	indices	indice	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	26	14	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	26	15	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	26	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	26	17	pulsatility	pulsatility	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	18	index	index	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	19	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	26	20	PI	PI	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	21	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	26	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	26	23	Pourcelot	Pourcelot	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	24	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	26	25	resistance	resistance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	26	index	index	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	27	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	26	28	RI	RI	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	29	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	26	30	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	26	31	A	a	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	32	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	26	33	B	B	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	34	Systolic	Systolic	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	35	Diastolic	Diastolic	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	36	ratio	ratio	NN
work_yhmhpetxjjertmjquf7qfk2lqm	26	37	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	26	38	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	26	39	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	26	40	highly	highly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	26	41	correlated	correlate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	26	42	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	26	43	led	lead	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	26	44	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	26	45	highly	highly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	26	46	erroneous	erroneous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	26	47	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	26	48	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	26	49	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	26	50	Izzetoglu	Izzetoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	51	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	26	52	Erkmen	Erkmen	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	53	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	26	54	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	26	55	Beksac	Beksac	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	26	56	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	26	57	1995	1995	CD
work_yhmhpetxjjertmjquf7qfk2lqm	26	58	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	26	59	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	27	1	These	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	27	2	indices	index	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	27	3	rely	rely	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	27	4	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	27	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	27	6	peak	peak	NN
work_yhmhpetxjjertmjquf7qfk2lqm	27	7	systolic	systolic	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	27	8	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	27	9	end-	end-	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	27	10	diastolic	diastolic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	27	11	velocities	velocity	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	27	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	27	13	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	27	14	only	only	RB
work_yhmhpetxjjertmjquf7qfk2lqm	27	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	27	16	PI	pi	NN
work_yhmhpetxjjertmjquf7qfk2lqm	27	17	making	make	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	27	18	use	use	NN
work_yhmhpetxjjertmjquf7qfk2lqm	27	19	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	27	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	27	21	mean	mean	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	27	22	velocity	velocity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	27	23	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	27	24	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	27	25	cardiac	cardiac	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	27	26	cycle	cycle	NN
work_yhmhpetxjjertmjquf7qfk2lqm	27	27	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	28	1	More	more	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	28	2	sophisticated	sophisticated	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	28	3	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	28	4	have	have	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	28	5	also	also	RB
work_yhmhpetxjjertmjquf7qfk2lqm	28	6	been	be	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	28	7	developed	develop	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	28	8	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	28	9	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	28	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	28	11	Laplace	Laplace	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	28	12	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	28	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	28	14	principal	principal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	28	15	components	component	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	28	16	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	28	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	29	1	However	however	RB
work_yhmhpetxjjertmjquf7qfk2lqm	29	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	29	3	none	none	NN
work_yhmhpetxjjertmjquf7qfk2lqm	29	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	29	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	29	6	simple	simple	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	29	7	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	29	8	more	more	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	29	9	complex	complex	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	29	10	analytical	analytical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	29	11	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	29	12	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	29	13	yielded	yield	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	29	14	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	29	15	acceptable	acceptable	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	29	16	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	29	17	accuracy	accuracy	NN
work_yhmhpetxjjertmjquf7qfk2lqm	29	18	so	so	IN
work_yhmhpetxjjertmjquf7qfk2lqm	29	19	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	29	20	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	29	21	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	29	22	commonplace	commonplace	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	29	23	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	29	24	0957	0957	CD
work_yhmhpetxjjertmjquf7qfk2lqm	29	25	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	29	26	4174/02/$	4174/02/$	CD
work_yhmhpetxjjertmjquf7qfk2lqm	29	27	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	29	28	see	see	VB
work_yhmhpetxjjertmjquf7qfk2lqm	29	29	front	front	NN
work_yhmhpetxjjertmjquf7qfk2lqm	29	30	matter	matter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	29	31	q	q	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	29	32	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	29	33	Elsevier	Elsevier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	29	34	Science	Science	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	29	35	Ltd.	Ltd.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	29	36	All	all	DT
work_yhmhpetxjjertmjquf7qfk2lqm	29	37	rights	right	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	29	38	reserved	reserve	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	29	39	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	30	1	PII	PII	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	30	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	30	3	S	S	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	30	4	0	0	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	5	9	9	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	6	5	5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	7	7	7	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	8	-	-	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	30	9	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	10	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	11	7	7	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	12	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	13	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	30	14	0	0	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	15	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	16	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	30	17	0	0	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	18	0	0	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	19	0	0	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	20	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	21	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	22	-	-	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	30	23	8	8	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	24	Expert	Expert	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	30	25	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	30	26	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	30	27	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	30	28	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	29	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	30	30	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	31	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	30	32	229–236	229–236	CD
work_yhmhpetxjjertmjquf7qfk2lqm	30	33	www.elsevier.com/locate/eswa	www.elsevier.com/locate/eswa	NN
work_yhmhpetxjjertmjquf7qfk2lqm	30	34	*	*	NFP
work_yhmhpetxjjertmjquf7qfk2lqm	30	35	Corresponding	Corresponding	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	30	36	author	author	NN
work_yhmhpetxjjertmjquf7qfk2lqm	30	37	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	31	1	Fax	fax	NN
work_yhmhpetxjjertmjquf7qfk2lqm	31	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	31	3	þ90	þ90	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	31	4	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	31	5	424	424	CD
work_yhmhpetxjjertmjquf7qfk2lqm	31	6	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	31	7	2184674	2184674	CD
work_yhmhpetxjjertmjquf7qfk2lqm	31	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	32	1	E	e	NN
work_yhmhpetxjjertmjquf7qfk2lqm	32	2	-	-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	32	3	mail	mail	NN
work_yhmhpetxjjertmjquf7qfk2lqm	32	4	address	address	NN
work_yhmhpetxjjertmjquf7qfk2lqm	32	5	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	32	6	iturkoglu@firat.edu.tr	iturkoglu@firat.edu.tr	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	32	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	32	8	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	32	9	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	32	10	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	32	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	33	1	http://www.elsevier.com/locate/eswa	http://www.elsevier.com/locate/eswa	VB
work_yhmhpetxjjertmjquf7qfk2lqm	33	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	33	3	vascular	vascular	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	33	4	clinic	clinic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	33	5	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	33	6	Wright	Wright	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	33	7	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	33	8	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	33	9	.	.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	33	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	33	11	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	33	12	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	33	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	34	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	34	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	34	3	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	34	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	34	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	34	6	developed	develop	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	34	7	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	34	8	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	34	9	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	34	10	expert	expert	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	34	11	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	34	12	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	34	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	34	14	will	will	MD
work_yhmhpetxjjertmjquf7qfk2lqm	34	15	cause	cause	VB
work_yhmhpetxjjertmjquf7qfk2lqm	34	16	more	more	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	34	17	effective	effective	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	34	18	usage	usage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	34	19	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	34	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	34	21	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	34	22	technique	technique	NN
work_yhmhpetxjjertmjquf7qfk2lqm	34	23	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	35	1	Until	until	IN
work_yhmhpetxjjertmjquf7qfk2lqm	35	2	now	now	RB
work_yhmhpetxjjertmjquf7qfk2lqm	35	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	4	many	many	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	35	5	attempts	attempt	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	35	6	have	have	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	35	7	been	be	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	35	8	undertaken	undertake	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	35	9	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	35	10	automatically	automatically	RB
work_yhmhpetxjjertmjquf7qfk2lqm	35	11	classify	classify	VB
work_yhmhpetxjjertmjquf7qfk2lqm	35	12	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	13	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	35	14	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	35	15	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	35	16	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	35	17	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	35	18	Chan	Chan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	20	Chan	Chan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	22	Lam	Lam	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	23	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	24	Lui	Lui	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	25	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	26	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	35	27	Poon	Poon	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	29	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	35	30	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	35	31	Guler	Guler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	32	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	35	33	Kara	Kara	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	35	34	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	35	35	1995	1995	CD
work_yhmhpetxjjertmjquf7qfk2lqm	35	36	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	35	37	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	36	1	Nevertheless	nevertheless	RB
work_yhmhpetxjjertmjquf7qfk2lqm	36	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	36	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	36	4	studies	study	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	36	5	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	36	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	36	7	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	36	8	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	36	9	fairly	fairly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	36	10	limited	limited	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	36	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	37	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	37	2	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	3	will	will	MD
work_yhmhpetxjjertmjquf7qfk2lqm	37	4	introduce	introduce	VB
work_yhmhpetxjjertmjquf7qfk2lqm	37	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	37	6	technique	technique	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	7	that	that	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	37	8	will	will	MD
work_yhmhpetxjjertmjquf7qfk2lqm	37	9	aid	aid	VB
work_yhmhpetxjjertmjquf7qfk2lqm	37	10	clinical	clinical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	37	11	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	37	13	enable	enable	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	37	14	further	further	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	37	15	research	research	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	37	17	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	18	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	19	disorders	disorder	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	37	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	37	21	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	37	22	provide	provide	VB
work_yhmhpetxjjertmjquf7qfk2lqm	37	23	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	37	24	novel	novel	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	37	25	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	26	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	27	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	37	28	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	29	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	37	30	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	31	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	37	32	disorders	disorder	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	37	33	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	38	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	38	2	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	3	uses	use	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	38	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	38	5	powerful	powerful	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	6	mathematics	mathematic	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	38	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	38	8	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	9	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	10	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	38	12	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	38	14	short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	15	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	38	16	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	17	Fourier	fouri	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	38	18	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	19	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	38	20	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	38	21	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	38	22	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	38	23	efficiently	efficiently	RB
work_yhmhpetxjjertmjquf7qfk2lqm	38	24	extract	extract	VB
work_yhmhpetxjjertmjquf7qfk2lqm	38	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	38	26	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	38	27	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	38	28	pre	pre	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	29	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	30	processed	process	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	38	31	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	38	32	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	38	33	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	38	34	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	38	35	purpose	purpose	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	36	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	38	37	recognizing	recognize	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	38	38	between	between	IN
work_yhmhpetxjjertmjquf7qfk2lqm	38	39	abnormal	abnormal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	40	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	38	41	normal	normal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	38	42	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	38	43	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	38	44	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	45	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	38	46	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	39	1	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	39	2	algorithm	algorithm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	39	3	called	call	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	39	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	39	5	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	39	6	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	39	7	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	39	8	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	39	9	developed	develop	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	39	10	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	39	11	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	39	12	approximately	approximately	RB
work_yhmhpetxjjertmjquf7qfk2lqm	39	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	39	14	advanced	advanced	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	39	15	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	39	16	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	39	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	40	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	40	2	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	40	3	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	40	4	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	40	5	obtained	obtain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	40	6	simply	simply	RB
work_yhmhpetxjjertmjquf7qfk2lqm	40	7	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	40	8	placing	place	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	40	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	40	10	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	40	11	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	40	12	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	40	13	transducer	transducer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	40	14	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	40	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	40	16	chest	chest	NN
work_yhmhpetxjjertmjquf7qfk2lqm	40	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	40	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	40	19	patient	patient	NN
work_yhmhpetxjjertmjquf7qfk2lqm	40	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	41	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	41	2	disadvantage	disadvantage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	41	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	41	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	41	5	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	41	6	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	41	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	41	8	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	41	9	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	41	10	requires	require	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	41	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	41	12	constant	constant	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	41	13	attention	attention	NN
work_yhmhpetxjjertmjquf7qfk2lqm	41	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	41	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	41	16	doctor	doctor	NN
work_yhmhpetxjjertmjquf7qfk2lqm	41	17	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	41	18	detect	detect	VB
work_yhmhpetxjjertmjquf7qfk2lqm	41	19	subtle	subtle	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	41	20	changes	change	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	41	21	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	41	22	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	41	23	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	41	24	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	41	25	Chan	Chan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	41	26	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	41	27	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	41	28	.	.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	41	29	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	41	30	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	41	31	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	41	32	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	42	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	42	2	presented	present	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	42	3	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	42	4	prevents	prevent	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	42	5	subtle	subtle	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	42	6	changes	change	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	42	7	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	42	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	42	9	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	42	10	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	42	11	escaping	escape	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	42	12	physician	physician	NN
work_yhmhpetxjjertmjquf7qfk2lqm	42	13	’s	’s	POS
work_yhmhpetxjjertmjquf7qfk2lqm	42	14	eye	eye	NN
work_yhmhpetxjjertmjquf7qfk2lqm	42	15	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	42	16	perceiving	perceive	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	42	17	them	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	42	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	42	19	even	even	RB
work_yhmhpetxjjertmjquf7qfk2lqm	42	20	if	if	IN
work_yhmhpetxjjertmjquf7qfk2lqm	42	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	42	22	physician	physician	NN
work_yhmhpetxjjertmjquf7qfk2lqm	42	23	does	do	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	42	24	not	not	RB
work_yhmhpetxjjertmjquf7qfk2lqm	42	25	pay	pay	VB
work_yhmhpetxjjertmjquf7qfk2lqm	42	26	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	42	27	continuous	continuous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	42	28	attention	attention	NN
work_yhmhpetxjjertmjquf7qfk2lqm	42	29	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	43	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	43	2	realized	realize	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	43	3	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	43	4	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	43	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	43	6	stages	stage	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	43	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	43	8	decision	decision	NN
work_yhmhpetxjjertmjquf7qfk2lqm	43	9	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	43	10	evaluation	evaluation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	43	11	contrary	contrary	RB
work_yhmhpetxjjertmjquf7qfk2lqm	43	12	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	43	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	43	14	existing	exist	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	43	15	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	43	16	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	43	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	44	1	Thus	thus	RB
work_yhmhpetxjjertmjquf7qfk2lqm	44	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	44	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	44	4	doctor	doctor	NN
work_yhmhpetxjjertmjquf7qfk2lqm	44	5	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	44	6	make	make	VB
work_yhmhpetxjjertmjquf7qfk2lqm	44	7	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	44	8	comparison	comparison	NN
work_yhmhpetxjjertmjquf7qfk2lqm	44	9	between	between	IN
work_yhmhpetxjjertmjquf7qfk2lqm	44	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	44	11	diagnoses	diagnosis	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	44	12	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	44	13	developed	developed	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	44	14	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	44	15	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	44	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	44	17	diagnoses	diagnosis	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	44	18	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	44	19	existing	exist	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	44	20	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	44	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	45	1	If	if	IN
work_yhmhpetxjjertmjquf7qfk2lqm	45	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	45	3	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	45	4	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	45	5	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	45	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	45	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	45	8	examin-	examin-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	45	9	ations	ation	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	45	10	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	45	11	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	45	12	repeated	repeat	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	45	13	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	45	14	performed	perform	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	45	15	more	more	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	45	16	carefully	carefully	RB
work_yhmhpetxjjertmjquf7qfk2lqm	45	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	46	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	46	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	46	3	way	way	NN
work_yhmhpetxjjertmjquf7qfk2lqm	46	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	46	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	46	6	physician	physician	NN
work_yhmhpetxjjertmjquf7qfk2lqm	46	7	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	46	8	decide	decide	VB
work_yhmhpetxjjertmjquf7qfk2lqm	46	9	more	more	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	46	10	realistic	realistic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	46	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	47	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	47	2	paper	paper	NN
work_yhmhpetxjjertmjquf7qfk2lqm	47	3	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	47	4	organized	organize	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	47	5	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	47	6	follows	follow	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	47	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	48	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	48	2	Section	section	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	3	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	48	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	48	5	we	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	48	6	review	review	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	48	7	some	some	DT
work_yhmhpetxjjertmjquf7qfk2lqm	48	8	basic	basic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	48	9	properties	property	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	48	10	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	48	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	48	12	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	13	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	48	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	48	16	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	48	17	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	18	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	48	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	48	20	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	21	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	48	23	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	48	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	48	25	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	48	26	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	48	27	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	48	28	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	48	29	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	48	30	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	49	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	49	2	new	new	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	49	3	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	49	4	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	49	5	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	49	6	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	49	7	described	describe	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	49	8	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	49	9	Section	section	NN
work_yhmhpetxjjertmjquf7qfk2lqm	49	10	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	49	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	50	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	50	2	new	new	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	50	3	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	4	enables	enable	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	50	5	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	50	6	large	large	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	50	7	reduction	reduction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	8	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	50	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	50	10	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	50	11	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	12	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	50	13	while	while	IN
work_yhmhpetxjjertmjquf7qfk2lqm	50	14	retaining	retain	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	50	15	problem	problem	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	16	specific	specific	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	50	17	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	18	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	50	19	facili-	facili-	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	50	20	tates	tate	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	50	21	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	50	22	efficient	efficient	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	50	23	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	24	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	25	process	process	NN
work_yhmhpetxjjertmjquf7qfk2lqm	50	26	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	51	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	51	2	effective-	effective-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	51	3	ness	ness	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	51	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	51	6	proposed	propose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	51	7	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	8	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	51	9	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	10	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	51	11	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	51	12	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	51	13	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	51	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	51	15	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	51	17	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	18	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	19	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	51	20	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	51	21	demonstrated	demonstrate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	51	22	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	51	23	Section	section	NN
work_yhmhpetxjjertmjquf7qfk2lqm	51	24	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	51	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	52	1	Finally	finally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	52	2	Section	Section	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	52	3	5	5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	52	4	presents	present	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	52	5	discussion	discussion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	52	6	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	52	7	conclusion	conclusion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	52	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	53	1	2	2	LS
work_yhmhpetxjjertmjquf7qfk2lqm	53	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	54	1	Preliminaries	preliminary	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	54	2	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	54	3	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	54	4	section	section	NN
work_yhmhpetxjjertmjquf7qfk2lqm	54	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	54	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	54	7	theoretical	theoretical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	54	8	foundations	foundation	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	54	9	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	54	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	54	11	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	54	12	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	54	13	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	54	14	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	54	15	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	54	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	54	17	presented	present	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	54	18	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	54	19	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	54	20	given	give	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	54	21	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	54	22	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	54	23	following	following	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	54	24	subsections	subsection	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	54	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	55	1	2.1	2.1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	55	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	56	1	Pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	2	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	3	Pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	4	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	5	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	56	6	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	56	7	divided	divide	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	56	8	into	into	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	9	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	56	10	sequence	sequence	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	11	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	12	stages	stage	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	56	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	56	14	starting	start	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	56	15	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	16	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	17	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	18	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	56	20	occurring	occur	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	56	21	patterns	pattern	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	56	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	56	23	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	56	24	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	56	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	56	26	conversion	conversion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	27	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	28	patterns	pattern	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	56	29	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	30	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	56	31	that	that	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	56	32	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	56	33	regarded	regard	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	56	34	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	56	35	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	56	36	condensed	condense	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	56	37	representation	representation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	38	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	56	39	ideally	ideally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	56	40	contain-	contain-	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	56	41	ing	e	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	56	42	all	all	RB
work_yhmhpetxjjertmjquf7qfk2lqm	56	43	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	56	44	important	important	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	56	45	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	56	46	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	57	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	57	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	57	3	next	next	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	57	4	stage	stage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	57	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	57	7	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	8	selection	selection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	9	step	step	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	57	11	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	57	12	smaller	small	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	57	13	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	57	15	meaningful	meaningful	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	57	16	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	57	17	that	that	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	57	18	best	good	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	57	19	represents	represent	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	57	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	57	21	given	give	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	57	22	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	23	without	without	IN
work_yhmhpetxjjertmjquf7qfk2lqm	57	24	redundancy	redundancy	NN
work_yhmhpetxjjertmjquf7qfk2lqm	57	25	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	57	26	identified	identify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	57	27	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	58	1	Finally	finally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	58	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	58	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	58	4	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	58	5	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	58	6	carried	carry	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	58	7	out	out	RP
work_yhmhpetxjjertmjquf7qfk2lqm	58	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	58	9	i.e.	i.e.	FW
work_yhmhpetxjjertmjquf7qfk2lqm	59	1	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	59	2	specific	specific	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	59	3	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	59	4	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	59	5	assigned	assign	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	59	6	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	59	7	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	59	8	specific	specific	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	59	9	class	class	NN
work_yhmhpetxjjertmjquf7qfk2lqm	59	10	according	accord	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	59	11	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	59	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	59	13	characteristic	characteristic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	59	14	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	59	15	selected	select	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	59	16	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	59	17	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	59	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	60	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	60	2	general	general	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	60	3	abstract	abstract	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	60	4	model	model	NN
work_yhmhpetxjjertmjquf7qfk2lqm	60	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	60	6	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	60	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	60	8	shown	show	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	60	9	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	60	10	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	60	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	61	1	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	61	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	61	3	allows	allow	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	61	4	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	61	5	broad	broad	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	61	6	variety	variety	NN
work_yhmhpetxjjertmjquf7qfk2lqm	61	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	61	8	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	61	9	realizations	realization	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	61	10	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	61	11	implementations	implementation	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	61	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	62	1	Applying	apply	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	62	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	62	3	terminology	terminology	NN
work_yhmhpetxjjertmjquf7qfk2lqm	62	4	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	62	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	62	6	medical	medical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	62	7	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	62	8	process	process	NN
work_yhmhpetxjjertmjquf7qfk2lqm	62	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	62	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	62	11	patterns	pattern	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	62	12	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	62	13	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	62	14	identified	identify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	62	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	62	16	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	62	17	example	example	NN
work_yhmhpetxjjertmjquf7qfk2lqm	62	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	62	19	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	62	20	particular	particular	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	62	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	62	22	formalized	formalize	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	62	23	symptoms	symptom	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	62	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	62	25	recorded	record	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	62	26	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	62	27	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	62	28	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	62	29	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	62	30	set	set	NN
work_yhmhpetxjjertmjquf7qfk2lqm	62	31	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	62	32	images	image	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	62	33	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	62	34	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	62	35	patient	patient	NN
work_yhmhpetxjjertmjquf7qfk2lqm	62	36	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	63	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	63	2	classes	class	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	63	3	obtained	obtain	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	63	4	represent	represent	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	63	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	63	6	variety	variety	NN
work_yhmhpetxjjertmjquf7qfk2lqm	63	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	63	8	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	63	9	possible	possible	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	63	10	diagnoses	diagnosis	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	63	11	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	63	12	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	63	13	statements	statement	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	63	14	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	63	15	Dickhous	Dickhous	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	63	16	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	63	17	Heinrich	Heinrich	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	63	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	63	19	1996	1996	CD
work_yhmhpetxjjertmjquf7qfk2lqm	63	20	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	63	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	64	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	64	2	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	64	3	applied	apply	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	64	4	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	64	5	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	64	6	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	64	7	uses	use	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	64	8	artificial	artificial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	64	9	intelligence	intelligence	NN
work_yhmhpetxjjertmjquf7qfk2lqm	64	10	approaches	approach	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	64	11	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	64	12	Bishop	Bishop	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	64	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	64	14	1996	1996	CD
work_yhmhpetxjjertmjquf7qfk2lqm	64	15	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	64	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	65	1	2.2	2.2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	65	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	66	1	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	2	signals	signal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	66	3	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	66	4	audio	audio	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	66	5	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	6	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	66	7	obtained	obtain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	66	8	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	66	9	simply	simply	RB
work_yhmhpetxjjertmjquf7qfk2lqm	66	10	placing	place	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	66	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	66	12	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	13	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	66	14	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	66	15	transducer	transducer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	66	16	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	66	17	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	66	18	chest	chest	NN
work_yhmhpetxjjertmjquf7qfk2lqm	66	19	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	66	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	66	21	patient	patient	NN
work_yhmhpetxjjertmjquf7qfk2lqm	66	22	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	66	23	Chan	Chan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	24	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	25	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	26	.	.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	66	27	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	66	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	66	29	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	66	30	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	66	31	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	67	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	67	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	68	1	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	68	2	shows	show	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	68	3	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	68	4	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	68	5	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	68	6	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	68	7	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	68	8	aortic	aortic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	68	9	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	68	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	69	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	69	2	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	69	3	produced	produce	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	69	4	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	69	5	echoes	echo	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	69	6	back-	back-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	69	7	scattered	scatter	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	69	8	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	69	9	moving	move	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	69	10	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	69	11	cells	cell	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	69	12	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	69	13	generally	generally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	69	14	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	69	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	69	16	range	range	NN
work_yhmhpetxjjertmjquf7qfk2lqm	69	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	69	18	0.5	0.5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	69	19	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	69	20	10	10	CD
work_yhmhpetxjjertmjquf7qfk2lqm	69	21	kHz	kHz	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	69	22	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	69	23	Saini	Saini	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	69	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	69	25	Nanda	Nanda	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	69	26	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	69	27	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	69	28	Maulik	Maulik	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	69	29	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	69	30	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	69	31	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	69	32	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	70	1	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	70	2	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	70	3	spectral	spectral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	70	4	estimation	estimation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	70	5	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	70	6	now	now	RB
work_yhmhpetxjjertmjquf7qfk2lqm	70	7	commonly	commonly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	70	8	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	70	9	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	70	10	evaluate	evaluate	VB
work_yhmhpetxjjertmjquf7qfk2lqm	70	11	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	70	12	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	70	13	parameters	parameter	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	70	14	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	70	15	order	order	NN
work_yhmhpetxjjertmjquf7qfk2lqm	70	16	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	70	17	diagnose	diagnose	VB
work_yhmhpetxjjertmjquf7qfk2lqm	70	18	cardiovascular	cardiovascular	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	70	19	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	70	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	71	1	Spectral	spectral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	71	2	estimation	estimation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	71	3	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	71	4	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	71	5	particularly	particularly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	71	6	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	71	7	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	71	8	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	71	9	ultrasound	ultrasound	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	71	10	cardiovascular	cardiovascular	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	71	11	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	71	12	detec-	detec-	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	71	13	tion	tion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	71	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	72	1	Clinical	clinical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	72	2	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	3	procedures	procedure	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	72	4	generally	generally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	72	5	include	include	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	72	6	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	72	8	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	72	9	graphical	graphical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	72	10	display	display	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	72	12	parameter	parameter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	13	measure-	measure-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	14	ments	ment	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	72	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	72	16	produced	produce	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	72	17	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	72	18	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	19	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	20	spectral	spectral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	72	21	evaluation	evaluation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	72	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	73	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	73	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	74	1	1	1	LS
work_yhmhpetxjjertmjquf7qfk2lqm	74	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	75	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	75	2	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	75	3	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	75	4	approach	approach	NN
work_yhmhpetxjjertmjquf7qfk2lqm	75	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	76	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	76	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	77	1	2	2	LS
work_yhmhpetxjjertmjquf7qfk2lqm	77	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	78	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	78	2	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	78	3	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	78	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	78	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	78	6	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	78	7	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	78	8	sound	sound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	78	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	79	1	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	79	2	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	79	3	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	79	4	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	79	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	80	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	80	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	80	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	80	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	80	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	80	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	80	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	80	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	80	10	229–236230	229–236230	CD
work_yhmhpetxjjertmjquf7qfk2lqm	80	11	Ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	80	12	instrumentation	instrumentation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	13	typically	typically	RB
work_yhmhpetxjjertmjquf7qfk2lqm	80	14	employ	employ	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	80	15	Fourier	fourier	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	16	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	80	17	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	80	18	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	80	19	obtain	obtain	VB
work_yhmhpetxjjertmjquf7qfk2lqm	80	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	80	21	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	22	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	23	spectra	spectra	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	80	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	80	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	80	26	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	27	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	80	28	measurements	measurement	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	80	29	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	80	30	Madeira	Madeira	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	80	31	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	80	32	Tokhi	Tokhi	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	80	33	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	80	34	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	80	35	Ruano	Ruano	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	80	36	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	80	37	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	80	38	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	80	39	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	81	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	81	2	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	81	3	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	81	4	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	81	5	not	not	RB
work_yhmhpetxjjertmjquf7qfk2lqm	81	6	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	81	7	simple	simple	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	81	8	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	81	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	82	1	It	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	82	2	includes	include	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	82	3	random	random	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	82	4	characteristics	characteristic	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	82	5	due	due	IN
work_yhmhpetxjjertmjquf7qfk2lqm	82	6	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	82	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	82	8	random	random	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	82	9	phases	phase	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	82	10	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	82	11	scattering	scatter	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	82	12	particles	particle	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	82	13	present	present	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	82	14	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	82	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	82	16	sample	sample	NN
work_yhmhpetxjjertmjquf7qfk2lqm	82	17	volume	volume	NN
work_yhmhpetxjjertmjquf7qfk2lqm	82	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	83	1	Other	other	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	83	2	effects	effect	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	83	3	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	83	4	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	83	5	geometric	geometric	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	83	6	broadening	broadening	NN
work_yhmhpetxjjertmjquf7qfk2lqm	83	7	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	83	8	spatially	spatially	RB
work_yhmhpetxjjertmjquf7qfk2lqm	83	9	varying	varying	NN
work_yhmhpetxjjertmjquf7qfk2lqm	83	10	velocity	velocity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	83	11	also	also	RB
work_yhmhpetxjjertmjquf7qfk2lqm	83	12	affect	affect	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	83	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	83	14	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	83	15	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	83	16	Karabetsos	Karabetsos	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	83	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	83	18	Papaodysseus	Papaodysseus	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	83	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	83	20	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	83	21	Kountsouris	Kountsouris	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	83	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	83	23	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	83	24	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	83	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	84	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	2	following	follow	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	84	3	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	4	equation	equation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	5	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	84	6	Df	Df	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	7	¼	¼	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	8	2vf	2vf	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	9	cos	cos	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	10	u	u	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	11	c	c	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	12	ð1Þ	ð1Þ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	13	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	84	14	v	v	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	15	equals	equal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	84	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	17	velocity	velocity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	18	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	20	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	21	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	84	23	f	f	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	24	equals	equal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	84	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	26	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	27	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	28	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	29	emitted	emitted	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	84	30	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	84	31	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	32	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	84	33	c	c	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	34	equals	equal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	84	35	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	36	velocity	velocity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	37	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	38	sound	sound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	39	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	40	tissue	tissue	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	41	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	84	42	approximately	approximately	RB
work_yhmhpetxjjertmjquf7qfk2lqm	84	43	1540	1540	CD
work_yhmhpetxjjertmjquf7qfk2lqm	84	44	m	m	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	45	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	84	46	s	s	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	47	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	84	48	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	84	49	Df	Df	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	50	equals	equal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	84	51	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	52	measured	measured	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	84	53	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	54	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	55	shift	shift	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	56	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	84	57	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	84	58	u	u	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	59	equals	equal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	84	60	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	61	angle	angle	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	62	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	63	incidence	incidence	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	64	between	between	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	65	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	66	direction	direction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	67	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	68	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	69	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	70	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	84	71	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	72	direction	direction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	73	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	84	74	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	84	75	emitted	emitted	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	84	76	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	84	77	beam	beam	NN
work_yhmhpetxjjertmjquf7qfk2lqm	84	78	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	84	79	Saini	Saini	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	80	et	et	FW
work_yhmhpetxjjertmjquf7qfk2lqm	84	81	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	82	.	.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	84	83	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	84	84	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	84	85	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	84	86	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	85	1	2.3	2.3	LS
work_yhmhpetxjjertmjquf7qfk2lqm	85	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	86	1	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	86	2	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	86	3	Wavelet	Wavelet	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	86	4	transforms	transform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	86	5	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	86	6	rapidly	rapidly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	86	7	surfacing	surface	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	86	8	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	86	9	fields	field	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	86	10	as	as	RB
work_yhmhpetxjjertmjquf7qfk2lqm	86	11	diverse	diverse	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	86	12	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	86	13	telecommunications	telecommunications	NN
work_yhmhpetxjjertmjquf7qfk2lqm	86	14	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	86	15	biology	biology	NN
work_yhmhpetxjjertmjquf7qfk2lqm	86	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	87	1	Because	because	IN
work_yhmhpetxjjertmjquf7qfk2lqm	87	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	87	3	their	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	87	4	suitability	suitability	NN
work_yhmhpetxjjertmjquf7qfk2lqm	87	5	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	87	6	analyzing	analyze	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	87	7	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	8	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	9	stationary	stationary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	10	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	87	11	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	87	12	they	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	87	13	have	have	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	87	14	become	become	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	87	15	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	87	16	powerful	powerful	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	17	alternative	alternative	NN
work_yhmhpetxjjertmjquf7qfk2lqm	87	18	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	87	19	Fourier	Fourier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	87	20	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	87	21	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	87	22	many	many	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	23	medical	medical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	24	applications	application	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	87	25	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	87	26	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	87	27	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	87	28	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	87	29	abound	abound	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	87	30	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	87	31	Akay	Akay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	87	32	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	87	33	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	87	34	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	87	35	Keeton	Keeton	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	87	36	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	87	37	Schlindwein	Schlindwein	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	87	38	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	87	39	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	87	40	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	87	41	Liang	Liang	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	87	42	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	87	43	Nartimo	Nartimo	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	87	44	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	87	45	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	87	46	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	87	47	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	88	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	88	2	main	main	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	88	3	advantages	advantage	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	88	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	88	5	wavelets	wavelet	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	88	6	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	88	7	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	88	8	they	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	88	9	have	have	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	88	10	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	88	11	varying	vary	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	88	12	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	88	13	size	size	NN
work_yhmhpetxjjertmjquf7qfk2lqm	88	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	88	15	being	be	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	88	16	wide	wide	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	88	17	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	88	18	slow	slow	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	88	19	frequencies	frequency	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	88	20	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	88	21	narrow	narrow	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	88	22	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	88	23	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	88	24	fast	fast	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	88	25	ones	one	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	88	26	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	88	27	thus	thus	RB
work_yhmhpetxjjertmjquf7qfk2lqm	88	28	leading	lead	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	88	29	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	88	30	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	88	31	optimal	optimal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	88	32	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	88	33	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	88	34	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	88	35	resolution	resolution	NN
work_yhmhpetxjjertmjquf7qfk2lqm	88	36	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	88	37	all	all	DT
work_yhmhpetxjjertmjquf7qfk2lqm	88	38	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	88	39	ranges	range	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	88	40	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	89	1	Furthermore	furthermore	RB
work_yhmhpetxjjertmjquf7qfk2lqm	89	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	89	3	owing	owe	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	89	4	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	89	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	89	6	fact	fact	NN
work_yhmhpetxjjertmjquf7qfk2lqm	89	7	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	89	8	windows	window	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	89	9	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	89	10	adapted	adapt	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	89	11	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	89	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	89	13	transients	transient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	89	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	89	15	each	each	DT
work_yhmhpetxjjertmjquf7qfk2lqm	89	16	scale	scale	NN
work_yhmhpetxjjertmjquf7qfk2lqm	89	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	89	18	wavelets	wavelet	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	89	19	lack	lack	NN
work_yhmhpetxjjertmjquf7qfk2lqm	89	20	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	89	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	89	22	requirement	requirement	NN
work_yhmhpetxjjertmjquf7qfk2lqm	89	23	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	89	24	stationarity	stationarity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	89	25	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	89	26	Quiroga	Quiroga	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	89	27	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	89	28	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	89	29	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	89	30	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	90	1	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	90	2	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	90	3	uses	use	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	90	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	90	5	fact	fact	NN
work_yhmhpetxjjertmjquf7qfk2lqm	90	6	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	90	7	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	90	8	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	90	9	possible	possible	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	90	10	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	90	11	resolve	resolve	VB
work_yhmhpetxjjertmjquf7qfk2lqm	90	12	high	high	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	90	13	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	90	14	components	component	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	90	15	within	within	IN
work_yhmhpetxjjertmjquf7qfk2lqm	90	16	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	90	17	small	small	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	90	18	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	90	19	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	90	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	90	21	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	90	22	only	only	RB
work_yhmhpetxjjertmjquf7qfk2lqm	90	23	low	low	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	90	24	frequencies	frequency	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	90	25	components	component	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	90	26	need	need	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	90	27	large	large	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	90	28	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	90	29	windows	window	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	90	30	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	91	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	2	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	91	3	because	because	IN
work_yhmhpetxjjertmjquf7qfk2lqm	91	4	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	5	low	low	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	91	6	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	7	component	component	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	8	completes	complete	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	91	9	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	10	cycle	cycle	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	11	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	91	12	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	13	large	large	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	91	14	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	15	interval	interval	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	16	whereas	whereas	IN
work_yhmhpetxjjertmjquf7qfk2lqm	91	17	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	18	high	high	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	91	19	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	20	component	component	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	21	completes	complete	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	91	22	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	23	cycle	cycle	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	24	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	91	25	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	91	26	much	much	RB
work_yhmhpetxjjertmjquf7qfk2lqm	91	27	shorter	short	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	91	28	interval	interval	NN
work_yhmhpetxjjertmjquf7qfk2lqm	91	29	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	92	1	Therefore	therefore	RB
work_yhmhpetxjjertmjquf7qfk2lqm	92	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	92	3	slow	slow	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	92	4	varying	varying	NN
work_yhmhpetxjjertmjquf7qfk2lqm	92	5	components	component	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	92	6	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	92	7	only	only	RB
work_yhmhpetxjjertmjquf7qfk2lqm	92	8	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	92	9	identified	identify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	92	10	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	92	11	long	long	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	92	12	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	92	13	intervals	interval	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	92	14	but	but	CC
work_yhmhpetxjjertmjquf7qfk2lqm	92	15	fast	fast	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	92	16	varying	varying	NN
work_yhmhpetxjjertmjquf7qfk2lqm	92	17	components	component	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	92	18	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	92	19	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	92	20	identified	identify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	92	21	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	92	22	short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	92	23	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	92	24	intervals	interval	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	92	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	93	1	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	93	2	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	3	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	93	4	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	93	5	regarded	regard	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	93	6	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	93	7	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	93	8	continuous	continuous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	93	9	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	10	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	11	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	12	sampled	sample	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	93	13	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	93	14	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	93	15	frequen-	frequen-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	16	cies	cie	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	93	17	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	93	18	every	every	DT
work_yhmhpetxjjertmjquf7qfk2lqm	93	19	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	20	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	93	21	stage	stage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	93	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	94	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	94	2	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	3	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	4	function	function	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	5	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	94	6	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	7	m	m	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	8	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	94	9	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	10	location	location	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	11	tm	tm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	94	12	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	94	13	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	94	14	expressed	express	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	94	15	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	94	16	Eq	Eq	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	94	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	95	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	95	2	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	95	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	95	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	95	5	dmðtmÞ	dmðtmÞ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	6	¼	¼	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	7	xðtÞCm	xðtþcm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	8	t	t	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	9	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	95	10	tm	tm	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	11	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	95	12	m	m	CD
work_yhmhpetxjjertmjquf7qfk2lqm	95	13	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	14	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	15	ð2Þ	ð2þ	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	95	16	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	95	17	Cm	Cm	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	18	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	95	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	20	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	21	filter	filter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	22	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	95	23	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	24	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	25	m.	m.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	26	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	27	effect	effect	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	28	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	95	29	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	30	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	31	filter	filter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	32	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	95	33	scaled	scale	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	95	34	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	95	35	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	36	factor	factor	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	37	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	95	38	m	m	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	39	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	95	40	stage	stage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	41	m	m	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	95	42	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	95	43	but	but	CC
work_yhmhpetxjjertmjquf7qfk2lqm	95	44	otherwise	otherwise	RB
work_yhmhpetxjjertmjquf7qfk2lqm	95	45	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	46	shape	shape	NN
work_yhmhpetxjjertmjquf7qfk2lqm	95	47	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	95	48	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	49	same	same	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	95	50	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	95	51	all	all	DT
work_yhmhpetxjjertmjquf7qfk2lqm	95	52	stages	stage	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	95	53	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	96	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	96	2	synthesis	synthesis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	96	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	96	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	96	5	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	96	6	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	96	7	its	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	96	8	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	96	9	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	96	10	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	96	11	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	96	12	given	give	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	96	13	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	96	14	Eq	Eq	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	96	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	97	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	97	2	3	3	LS
work_yhmhpetxjjertmjquf7qfk2lqm	97	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	97	4	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	97	5	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	97	6	rewritten	rewrite	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	97	7	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	97	8	express	express	VB
work_yhmhpetxjjertmjquf7qfk2lqm	97	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	97	10	composition	composition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	97	11	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	97	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	97	13	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	97	14	x½n	x½n	NN
work_yhmhpetxjjertmjquf7qfk2lqm	97	15	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	97	16	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	97	17	its	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	97	18	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	97	19	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	97	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	98	1	d½n	d½n	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	2	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	3	¼	¼	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	4	x½n	x½n	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	5	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	6	h½n	h½n	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	7	�	�	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	98	8	;	;	,
work_yhmhpetxjjertmjquf7qfk2lqm	98	9	c½n	c½n	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	10	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	11	¼	¼	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	12	x½n	x½n	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	13	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	14	g½n	g½n	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	15	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	16	ð3Þ	ð3Þ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	17	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	98	18	h½n	h½n	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	19	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	20	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	98	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	98	22	impulse	impulse	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	23	response	response	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	24	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	98	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	98	26	high	high	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	27	pass	pass	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	28	filter	filter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	29	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	98	30	g½n	g½n	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	31	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	32	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	98	33	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	98	34	impulse	impulse	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	35	response	response	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	36	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	98	37	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	98	38	low	low	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	98	39	pass	pass	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	40	filter	filter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	98	41	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	98	42	Devasahayam	Devasahayam	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	98	43	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	98	44	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	98	45	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	98	46	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	99	1	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	99	2	packet	packet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	3	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	4	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	99	5	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	99	6	extension	extension	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	99	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	99	9	discrete	discrete	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	99	10	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	11	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	12	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	99	13	DWT	dwt	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	14	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	99	15	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	99	16	Burrus	Burrus	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	99	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	99	18	Gopinath	Gopinath	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	99	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	99	20	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	99	21	Guo	Guo	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	99	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	99	23	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	99	24	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	99	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	99	26	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	99	27	turns	turn	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	99	28	out	out	RP
work_yhmhpetxjjertmjquf7qfk2lqm	99	29	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	99	30	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	99	31	DWT	DWT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	99	32	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	99	33	only	only	RB
work_yhmhpetxjjertmjquf7qfk2lqm	99	34	one	one	CD
work_yhmhpetxjjertmjquf7qfk2lqm	99	35	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	99	36	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	99	37	many	many	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	99	38	possible	possible	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	99	39	decompositions	decomposition	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	99	40	that	that	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	99	41	could	could	MD
work_yhmhpetxjjertmjquf7qfk2lqm	99	42	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	99	43	performed	perform	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	99	44	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	99	45	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	99	46	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	47	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	99	48	instead	instead	RB
work_yhmhpetxjjertmjquf7qfk2lqm	99	49	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	99	50	just	just	RB
work_yhmhpetxjjertmjquf7qfk2lqm	99	51	decomposing	decompose	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	99	52	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	99	53	low	low	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	99	54	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	55	component	component	NN
work_yhmhpetxjjertmjquf7qfk2lqm	99	56	as	as	RB
work_yhmhpetxjjertmjquf7qfk2lqm	99	57	well	well	RB
work_yhmhpetxjjertmjquf7qfk2lqm	99	58	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	100	1	It	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	100	2	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	100	3	therefore	therefore	RB
work_yhmhpetxjjertmjquf7qfk2lqm	100	4	possible	possible	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	100	5	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	100	6	subdivide	subdivide	VB
work_yhmhpetxjjertmjquf7qfk2lqm	100	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	100	8	whole	whole	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	100	9	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	100	10	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	100	11	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	100	12	plane	plane	NN
work_yhmhpetxjjertmjquf7qfk2lqm	100	13	into	into	IN
work_yhmhpetxjjertmjquf7qfk2lqm	100	14	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	100	15	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	100	16	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	100	17	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	100	18	pieces	piece	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	100	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	101	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	101	2	advantage	advantage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	101	4	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	5	packet	packet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	6	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	101	8	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	101	9	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	101	10	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	101	11	possible	possible	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	101	12	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	101	13	combine	combine	VB
work_yhmhpetxjjertmjquf7qfk2lqm	101	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	101	15	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	101	16	levels	level	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	101	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	101	18	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	19	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	101	20	order	order	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	21	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	101	22	achieve	achieve	VB
work_yhmhpetxjjertmjquf7qfk2lqm	101	23	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	101	24	optimum	optimum	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	101	25	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	26	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	101	27	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	28	represen-	represen-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	101	29	tation	tation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	101	30	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	101	31	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	101	32	original	original	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	101	33	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	101	34	Keeton	Keeton	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	101	35	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	101	36	Schlindwein	Schlindwein	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	101	37	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	101	38	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	101	39	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	101	40	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	102	1	2.4	2.4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	102	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	103	1	Short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	103	2	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	103	3	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	103	4	Fourier	fouri	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	103	5	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	103	6	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	103	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	103	8	also	also	RB
work_yhmhpetxjjertmjquf7qfk2lqm	103	9	known	know	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	103	10	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	103	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	103	12	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	103	13	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	103	14	dependent	dependent	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	103	15	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	103	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	103	17	windowed	windowe	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	103	18	Fourier	Fourier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	103	19	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	103	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	103	21	attempts	attempt	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	103	22	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	103	23	analyze	analyze	VB
work_yhmhpetxjjertmjquf7qfk2lqm	103	24	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	103	25	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	103	26	stationary	stationary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	103	27	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	103	28	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	103	29	dividing	divide	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	103	30	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	103	31	whole	whole	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	103	32	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	103	33	into	into	IN
work_yhmhpetxjjertmjquf7qfk2lqm	103	34	shorter	short	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	103	35	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	103	36	frames	frame	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	103	37	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	104	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	104	2	short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	104	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	104	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	104	5	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	104	6	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	104	7	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	104	8	compactly	compactly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	104	9	represented	represent	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	104	10	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	104	11	Eq	Eq	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	104	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	105	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	105	2	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	105	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	105	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	105	5	XðkÞ	XðkÞ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	6	¼	¼	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	7	XN21	XN21	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	8	n¼0	n¼0	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	9	xðnÞvðn	xðnÞvðn	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	10	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	105	11	n0Þexp	n0Þexp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	12	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	105	13	j2pnk	j2pnk	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	14	N	N	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	15	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	16	�	�	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	17	ð4Þ	ð4Þ	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	105	18	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	105	19	vðn	vðn	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	105	20	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	105	21	n0Þ	n0þ	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	22	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	105	23	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	105	24	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	25	function	function	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	26	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	105	27	suppress	suppress	VB
work_yhmhpetxjjertmjquf7qfk2lqm	105	28	side	side	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	29	lobes	lobe	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	105	30	while	while	IN
work_yhmhpetxjjertmjquf7qfk2lqm	105	31	minimizing	minimize	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	105	32	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	105	33	main	main	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	105	34	lobe	lobe	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	35	leakage	leakage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	105	36	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	106	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	106	2	output	output	NN
work_yhmhpetxjjertmjquf7qfk2lqm	106	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	106	4	successive	successive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	106	5	STFTs	stft	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	106	6	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	106	7	provide	provide	VB
work_yhmhpetxjjertmjquf7qfk2lqm	106	8	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	106	9	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	106	10	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	106	11	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	106	12	represen-	represen-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	106	13	tation	tation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	106	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	106	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	106	16	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	106	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	107	1	To	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	107	2	accomplish	accomplish	VB
work_yhmhpetxjjertmjquf7qfk2lqm	107	3	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	107	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	107	5	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	107	6	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	107	7	truncated	truncate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	107	8	into	into	IN
work_yhmhpetxjjertmjquf7qfk2lqm	107	9	short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	107	10	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	107	11	frames	frame	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	107	12	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	107	13	multiplying	multiply	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	107	14	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	107	15	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	107	16	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	107	17	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	107	18	so	so	IN
work_yhmhpetxjjertmjquf7qfk2lqm	107	19	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	107	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	107	21	modified	modify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	107	22	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	107	23	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	107	24	zero	zero	CD
work_yhmhpetxjjertmjquf7qfk2lqm	107	25	outside	outside	IN
work_yhmhpetxjjertmjquf7qfk2lqm	107	26	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	107	27	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	107	28	frame	frame	NN
work_yhmhpetxjjertmjquf7qfk2lqm	107	29	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	108	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	108	2	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	108	3	spectrums	spectrum	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	108	4	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	108	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	108	6	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	108	7	frame	frame	NN
work_yhmhpetxjjertmjquf7qfk2lqm	108	8	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	108	9	calculated	calculate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	108	10	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	108	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	108	12	fast	fast	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	108	13	Fourier	Fourier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	108	14	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	108	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	109	1	One	one	CD
work_yhmhpetxjjertmjquf7qfk2lqm	109	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	109	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	109	4	limitations	limitation	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	109	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	109	6	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	109	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	109	8	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	109	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	109	10	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	109	11	frame	frame	NN
work_yhmhpetxjjertmjquf7qfk2lqm	109	12	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	109	13	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	109	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	109	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	109	16	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	109	17	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	109	18	fixed	fix	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	109	19	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	109	20	Keeton	Keeton	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	109	21	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	109	22	Schlindwein	Schlindwein	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	109	23	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	109	24	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	109	25	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	109	26	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	110	1	2.5	2.5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	110	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	111	1	Wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	111	2	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	111	3	Entropy	Entropy	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	111	4	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	111	5	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	111	6	criteria	criterion	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	111	7	describe	describe	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	111	8	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	111	9	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	111	10	related	relate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	111	11	properties	property	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	111	12	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	111	13	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	111	14	accurate	accurate	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	111	15	representation	representation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	111	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	111	17	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	111	18	given	give	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	111	19	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	111	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	112	1	Entropy	Entropy	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	112	2	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	112	3	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	112	4	common	common	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	112	5	concept	concept	NN
work_yhmhpetxjjertmjquf7qfk2lqm	112	6	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	112	7	many	many	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	112	8	fields	field	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	112	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	112	10	mainly	mainly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	112	11	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	112	12	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	112	13	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	112	14	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	112	15	Coifman	Coifman	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	112	16	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	112	17	Wickerhauser	Wickerhauser	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	112	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	112	19	1992	1992	CD
work_yhmhpetxjjertmjquf7qfk2lqm	112	20	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	112	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	113	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	113	2	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	113	3	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	113	4	measuring	measure	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	113	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	113	6	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	113	7	appears	appear	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	113	8	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	113	9	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	113	10	ideal	ideal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	113	11	tool	tool	NN
work_yhmhpetxjjertmjquf7qfk2lqm	113	12	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	113	13	quantifying	quantify	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	113	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	113	15	ordering	ordering	NN
work_yhmhpetxjjertmjquf7qfk2lqm	113	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	113	17	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	113	18	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	113	19	stationary	stationary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	113	20	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	113	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	114	1	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	114	2	ordered	order	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	114	3	activity	activity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	114	4	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	114	5	i.e.	i.e.	FW
work_yhmhpetxjjertmjquf7qfk2lqm	115	1	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	115	2	sinusoidal	sinusoidal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	115	3	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	115	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	115	5	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	115	6	manifested	manifest	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	115	7	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	115	8	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	115	9	narrow	narrow	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	115	10	peak	peak	NN
work_yhmhpetxjjertmjquf7qfk2lqm	115	11	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	115	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	115	13	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	115	14	domain	domain	NN
work_yhmhpetxjjertmjquf7qfk2lqm	115	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	115	16	thus	thus	RB
work_yhmhpetxjjertmjquf7qfk2lqm	115	17	having	have	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	115	18	low	low	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	115	19	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	115	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	116	1	On	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	116	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	116	3	other	other	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	116	4	hand	hand	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	116	6	random	random	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	116	7	activity	activity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	8	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	116	9	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	116	10	wide	wide	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	116	11	band	band	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	12	response	response	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	13	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	116	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	116	15	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	16	domain	domain	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	116	18	reflected	reflect	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	116	19	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	116	20	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	116	21	high	high	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	116	22	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	116	23	value	value	NN
work_yhmhpetxjjertmjquf7qfk2lqm	116	24	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	116	25	Quiroga	Quiroga	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	116	26	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	116	27	Roso	Roso	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	116	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	116	29	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	116	30	Basar	Basar	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	116	31	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	116	32	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	116	33	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	116	34	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	117	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	117	2	types	type	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	117	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	117	4	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	117	5	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	117	6	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	117	7	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	117	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	118	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	118	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	118	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	118	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	118	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	118	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	118	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	118	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	118	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	118	10	229–236	229–236	CD
work_yhmhpetxjjertmjquf7qfk2lqm	118	11	231	231	CD
work_yhmhpetxjjertmjquf7qfk2lqm	118	12	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	118	13	computing	computing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	118	14	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	118	15	shannon	shannon	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	118	16	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	118	17	threshold	threshold	NN
work_yhmhpetxjjertmjquf7qfk2lqm	118	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	118	19	norm	norm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	118	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	118	21	log	log	NN
work_yhmhpetxjjertmjquf7qfk2lqm	118	22	energy	energy	NN
work_yhmhpetxjjertmjquf7qfk2lqm	118	23	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	118	24	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	118	25	sure	sure	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	118	26	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	118	27	Coifman	Coifman	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	118	28	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	118	29	Wickerhauser	Wickerhauser	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	118	30	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	118	31	1992	1992	CD
work_yhmhpetxjjertmjquf7qfk2lqm	118	32	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	118	33	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	119	1	2.6	2.6	CD
work_yhmhpetxjjertmjquf7qfk2lqm	119	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	120	1	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	120	2	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	120	3	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	120	4	artificial	artificial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	120	5	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	120	6	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	120	8	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	120	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	120	10	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	120	11	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	120	12	mathematical	mathematical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	120	13	model	model	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	14	consisting	consist	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	120	15	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	120	16	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	120	17	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	18	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	120	19	highly	highly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	120	20	interconnected	interconnect	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	120	21	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	22	elements	element	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	120	23	organized	organize	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	120	24	into	into	IN
work_yhmhpetxjjertmjquf7qfk2lqm	120	25	layers	layer	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	120	26	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	120	27	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	120	28	geometry	geometry	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	29	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	120	30	functionality	functionality	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	31	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	120	32	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	120	33	have	have	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	120	34	been	be	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	120	35	likened	liken	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	120	36	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	120	37	that	that	DT
work_yhmhpetxjjertmjquf7qfk2lqm	120	38	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	120	39	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	120	40	human	human	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	120	41	brain	brain	NN
work_yhmhpetxjjertmjquf7qfk2lqm	120	42	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	121	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	121	2	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	121	3	may	may	MD
work_yhmhpetxjjertmjquf7qfk2lqm	121	4	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	121	5	regarded	regard	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	121	6	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	121	7	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	121	8	learning	learning	NN
work_yhmhpetxjjertmjquf7qfk2lqm	121	9	capabilities	capability	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	121	10	inasmuch	inasmuch	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	121	11	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	121	12	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	121	13	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	121	14	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	121	15	natural	natural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	121	16	propensity	propensity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	121	17	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	121	18	storing	store	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	121	19	experimental	experimental	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	121	20	knowledge	knowledge	NN
work_yhmhpetxjjertmjquf7qfk2lqm	121	21	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	121	22	making	make	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	121	23	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	121	24	available	available	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	121	25	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	121	26	later	later	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	121	27	use	use	NN
work_yhmhpetxjjertmjquf7qfk2lqm	121	28	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	122	1	By	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	122	2	virtue	virtue	NN
work_yhmhpetxjjertmjquf7qfk2lqm	122	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	122	4	its	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	122	5	parallel	parallel	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	6	distribution	distribution	NN
work_yhmhpetxjjertmjquf7qfk2lqm	122	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	122	8	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	122	9	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	122	10	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	122	11	generally	generally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	122	12	robust	robust	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	122	14	tolerant	tolerant	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	15	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	122	16	faults	fault	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	122	17	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	122	18	noise	noise	NN
work_yhmhpetxjjertmjquf7qfk2lqm	122	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	122	20	able	able	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	21	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	122	22	generalize	generalize	VB
work_yhmhpetxjjertmjquf7qfk2lqm	122	23	well	well	RB
work_yhmhpetxjjertmjquf7qfk2lqm	122	24	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	122	25	capable	capable	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	26	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	122	27	solving	solve	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	122	28	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	29	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	30	linear	linear	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	122	31	problems	problem	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	122	32	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	122	33	Haykin	Haykin	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	122	34	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	122	35	1994	1994	CD
work_yhmhpetxjjertmjquf7qfk2lqm	122	36	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	122	37	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	123	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	123	2	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	123	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	123	4	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	123	5	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	123	6	diseased	diseased	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	123	7	or	or	CC
work_yhmhpetxjjertmjquf7qfk2lqm	123	8	healthy	healthy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	123	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	123	10	may	may	MD
work_yhmhpetxjjertmjquf7qfk2lqm	123	11	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	123	12	regarded	regard	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	123	13	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	14	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	123	15	inherently	inherently	RB
work_yhmhpetxjjertmjquf7qfk2lqm	123	16	non	non	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	123	17	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	123	18	linear	linear	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	123	19	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	20	due	due	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	21	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	22	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	123	23	absence	absence	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	24	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	123	26	property	property	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	27	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	28	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	29	preservation	preservation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	30	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	31	required	require	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	123	32	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	33	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	123	34	definition	definition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	35	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	123	36	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	123	37	linear	linear	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	123	38	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	123	39	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	123	40	Nichols	Nichols	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	123	41	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	123	42	O’Rourke	O’Rourke	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	123	43	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	123	44	1990	1990	CD
work_yhmhpetxjjertmjquf7qfk2lqm	123	45	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	123	46	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	124	1	Applications	application	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	124	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	124	3	ANNs	ann	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	124	4	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	124	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	124	6	medical	medical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	124	7	field	field	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	8	include	include	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	124	9	EMG	EMG	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	10	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	11	identification	identification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	12	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	13	Asres	Asres	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	15	Dou	Dou	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	16	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	17	Zhou	Zhou	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	19	Zhang	Zhang	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	21	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	124	22	Zhu	Zhu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	23	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	24	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	124	25	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	26	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	27	images	image	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	124	28	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	124	29	human	human	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	124	30	breast	breast	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	31	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	32	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	33	Allan	Allan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	34	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	124	35	Kinsner	Kinsner	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	36	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	37	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	124	38	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	39	medical	medical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	124	40	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	124	41	mining	mining	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	42	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	43	Brameier	Brameier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	44	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	124	45	Banzhaf	Banzhaf	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	46	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	47	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	124	48	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	49	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	50	Brachytherapy	Brachytherapy	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	51	cancer	cancer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	52	treatment	treatment	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	53	optimiz-	optimiz-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	124	54	ation	ation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	55	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	56	Miller	Miller	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	57	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	58	Bews	Bews	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	124	59	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	60	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	124	61	Kinsner	Kinsner	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	62	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	63	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	124	64	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	65	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	66	interpretation	interpretation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	67	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	124	68	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	69	sounds	sound	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	124	70	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	71	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	72	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	124	73	Arslan	Arslan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	74	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	75	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	124	76	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	77	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	78	EEG	EEG	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	79	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	80	identification	identification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	81	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	82	Saraoglu	Saraoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	83	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	84	Yumusak	Yumusak	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	85	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	124	86	Ferikoglu	Ferikoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	87	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	88	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	124	89	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	124	90	;	;	:
work_yhmhpetxjjertmjquf7qfk2lqm	124	91	however	however	RB
work_yhmhpetxjjertmjquf7qfk2lqm	124	92	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	124	93	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	124	94	date	date	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	95	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	124	96	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	97	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	98	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	124	99	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	124	100	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	124	101	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	124	102	relatively	relatively	RB
work_yhmhpetxjjertmjquf7qfk2lqm	124	103	new	new	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	124	104	approach	approach	NN
work_yhmhpetxjjertmjquf7qfk2lqm	124	105	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	125	1	3	3	LS
work_yhmhpetxjjertmjquf7qfk2lqm	125	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	126	1	Methodology	Methodology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	126	2	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	126	3	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	127	1	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	127	2	shows	show	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	127	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	127	4	expert	expert	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	127	5	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	127	6	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	127	7	we	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	127	8	developed	develop	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	127	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	128	1	It	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	128	2	consists	consist	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	128	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	128	4	three	three	CD
work_yhmhpetxjjertmjquf7qfk2lqm	128	5	parts	part	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	128	6	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	128	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	128	8	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	128	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	128	10	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	11	acquisition	acquisition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	12	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	128	13	pre-	pre-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	14	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	128	16	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	128	17	b	b	LS
work_yhmhpetxjjertmjquf7qfk2lqm	128	18	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	128	19	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	20	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	128	22	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	128	23	c	c	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	24	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	128	25	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	26	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	128	27	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	128	28	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	128	29	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	129	1	3.1	3.1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	129	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	130	1	Data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	130	2	acquisition	acquisition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	130	3	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	130	4	pre	pre	NN
work_yhmhpetxjjertmjquf7qfk2lqm	130	5	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	130	6	processing	process	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	130	7	All	all	PDT
work_yhmhpetxjjertmjquf7qfk2lqm	130	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	130	9	original	original	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	130	10	audio	audio	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	130	11	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	12	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	130	13	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	130	14	acquired	acquire	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	130	15	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	130	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	130	17	Acuson	Acuson	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	18	Sequoia	Sequoia	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	19	512	512	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	20	Model	Model	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	21	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	22	Ultrasound	Ultrasound	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	23	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	130	24	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	130	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	130	26	Cardiology	Cardiology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	27	Department	Department	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	28	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	130	29	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	130	30	Firat	Firat	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	31	Medical	Medical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	32	Center	Center	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	130	33	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	131	1	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	2	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	131	3	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	131	4	sampled	sample	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	131	5	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	131	6	20	20	CD
work_yhmhpetxjjertmjquf7qfk2lqm	131	7	kHz	kHz	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	131	8	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	131	9	5	5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	131	10	s	s	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	131	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	131	12	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	13	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	131	14	noise	noise	VB
work_yhmhpetxjjertmjquf7qfk2lqm	131	15	ratio	ratio	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	131	17	0	0	CD
work_yhmhpetxjjertmjquf7qfk2lqm	131	18	dB	db	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	19	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	131	20	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	131	21	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	131	22	sound	sound	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	131	23	card	card	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	24	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	131	25	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	131	26	16-bit	16-bit	CD
work_yhmhpetxjjertmjquf7qfk2lqm	131	27	A	a	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	28	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	131	29	D	D	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	30	conversion	conversion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	31	resolution	resolution	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	32	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	131	33	computer	computer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	34	software	software	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	35	prepared	prepare	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	131	36	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	131	37	us	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	131	38	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	131	39	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	131	40	MATLAB	MATLAB	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	41	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	131	42	version	version	NN
work_yhmhpetxjjertmjquf7qfk2lqm	131	43	5.3	5.3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	131	44	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	131	45	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	131	46	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	131	47	MathWorks	MathWorks	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	48	Inc.	Inc.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	49	Natick	Natick	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	50	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	131	51	MA	MA	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	52	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	131	53	USA	USA	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	131	54	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	131	55	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	132	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	132	2	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	132	3	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	132	4	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	132	5	transducer	transducer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	132	6	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	132	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	132	8	Model	Model	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	132	9	3V2c	3V2c	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	132	10	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	132	11	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	132	12	run	run	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	132	13	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	132	14	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	132	15	operating	operating	NN
work_yhmhpetxjjertmjquf7qfk2lqm	132	16	mode	mode	NN
work_yhmhpetxjjertmjquf7qfk2lqm	132	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	132	18	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	132	19	MHz	MHz	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	132	20	continuous	continuous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	132	21	wave	wave	NN
work_yhmhpetxjjertmjquf7qfk2lqm	132	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	133	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	133	2	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	133	3	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	133	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	133	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	133	6	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	133	7	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	133	8	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	133	9	obtained	obtain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	133	10	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	133	11	placing	place	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	133	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	133	13	transducer	transducer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	133	14	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	133	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	133	16	chest	chest	NN
work_yhmhpetxjjertmjquf7qfk2lqm	133	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	133	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	133	19	patient	patient	NN
work_yhmhpetxjjertmjquf7qfk2lqm	133	20	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	133	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	133	22	aid	aid	NN
work_yhmhpetxjjertmjquf7qfk2lqm	133	23	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	133	24	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	133	25	image	image	NN
work_yhmhpetxjjertmjquf7qfk2lqm	133	26	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	134	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	134	2	digitized	digitized	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	134	3	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	134	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	134	5	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	134	6	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	134	7	95	95	CD
work_yhmhpetxjjertmjquf7qfk2lqm	134	8	normal	normal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	134	9	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	134	10	120	120	CD
work_yhmhpetxjjertmjquf7qfk2lqm	134	11	abnormal	abnormal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	134	12	subjects	subject	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	134	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	134	14	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	134	15	stored	store	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	134	16	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	134	17	hard	hard	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	134	18	disk	disk	NN
work_yhmhpetxjjertmjquf7qfk2lqm	134	19	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	134	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	134	21	PC	pc	NN
work_yhmhpetxjjertmjquf7qfk2lqm	134	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	135	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	135	2	subject	subject	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	135	3	group	group	NN
work_yhmhpetxjjertmjquf7qfk2lqm	135	4	consisted	consist	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	135	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	135	6	132	132	CD
work_yhmhpetxjjertmjquf7qfk2lqm	135	7	males	male	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	135	8	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	135	9	83	83	CD
work_yhmhpetxjjertmjquf7qfk2lqm	135	10	females	female	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	135	11	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	135	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	135	13	ages	age	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	135	14	ranging	range	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	135	15	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	135	16	15	15	CD
work_yhmhpetxjjertmjquf7qfk2lqm	135	17	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	135	18	80	80	CD
work_yhmhpetxjjertmjquf7qfk2lqm	135	19	years	year	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	135	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	136	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	136	2	average	average	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	136	3	age	age	NN
work_yhmhpetxjjertmjquf7qfk2lqm	136	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	136	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	136	6	subjects	subject	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	136	7	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	136	8	48.77	48.77	CD
work_yhmhpetxjjertmjquf7qfk2lqm	136	9	years	year	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	136	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	137	1	Pre	pre	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	2	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	3	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	4	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	137	5	obtain	obtain	VB
work_yhmhpetxjjertmjquf7qfk2lqm	137	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	137	7	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	8	vector	vector	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	9	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	137	10	performed	perform	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	137	11	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	137	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	137	13	digitized	digitized	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	14	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	15	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	137	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	137	17	following	follow	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	137	18	order	order	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	19	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	137	20	i.	i.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	137	21	Filtering	Filtering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	137	22	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	137	23	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	137	24	reserved	reserved	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	25	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	137	26	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	137	27	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	137	28	high	high	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	29	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	137	30	pass	pass	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	31	filtered	filter	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	137	32	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	137	33	remove	remove	VB
work_yhmhpetxjjertmjquf7qfk2lqm	137	34	unwanted	unwanted	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	35	low	low	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	137	36	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	137	37	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	38	com-	com-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	39	ponents	ponent	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	137	40	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	137	41	because	because	IN
work_yhmhpetxjjertmjquf7qfk2lqm	137	42	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	137	43	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	137	44	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	137	45	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	137	46	generally	generally	RB
work_yhmhpetxjjertmjquf7qfk2lqm	137	47	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	137	48	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	137	49	range	range	NN
work_yhmhpetxjjertmjquf7qfk2lqm	137	50	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	137	51	0.5	0.5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	137	52	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	137	53	10	10	CD
work_yhmhpetxjjertmjquf7qfk2lqm	137	54	kHz	kHz	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	137	55	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	138	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	138	2	filter	filter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	3	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	138	4	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	138	5	digital	digital	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	138	6	FIR	FIR	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	138	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	138	8	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	138	9	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	138	10	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	138	11	fiftieth	fiftieth	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	138	12	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	138	13	order	order	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	14	filter	filter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	15	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	138	16	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	138	17	cut	cut	VB
work_yhmhpetxjjertmjquf7qfk2lqm	138	18	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	138	19	off	off	RP
work_yhmhpetxjjertmjquf7qfk2lqm	138	20	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	21	equal	equal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	138	22	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	138	23	500	500	CD
work_yhmhpetxjjertmjquf7qfk2lqm	138	24	Hz	Hz	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	138	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	138	26	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	27	type	type	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	28	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	138	29	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	138	30	51-point	51-point	CD
work_yhmhpetxjjertmjquf7qfk2lqm	138	31	symmetric	symmetric	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	138	32	Hamming	Hamming	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	138	33	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	138	34	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	139	1	ii	ii	LS
work_yhmhpetxjjertmjquf7qfk2lqm	139	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	140	1	White	White	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	140	2	de	de	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	140	3	-	-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	140	4	noising	noising	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	140	5	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	140	6	White	white	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	140	7	noise	noise	NN
work_yhmhpetxjjertmjquf7qfk2lqm	140	8	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	140	9	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	140	10	random	random	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	140	11	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	140	12	that	that	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	140	13	contains	contain	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	140	14	equal	equal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	140	15	amounts	amount	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	140	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	140	17	every	every	DT
work_yhmhpetxjjertmjquf7qfk2lqm	140	18	possible	possible	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	140	19	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	140	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	140	21	i.e.	i.e.	FW
work_yhmhpetxjjertmjquf7qfk2lqm	140	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	140	23	its	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	140	24	FFT	FFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	140	25	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	140	26	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	140	27	flat	flat	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	140	28	spectrum	spectrum	NN
work_yhmhpetxjjertmjquf7qfk2lqm	140	29	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	140	30	Devasahayam	Devasahayam	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	140	31	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	140	32	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	140	33	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	140	34	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	141	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	141	2	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	141	3	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	141	4	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	141	5	filtered	filter	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	141	6	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	141	7	removing	remove	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	141	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	141	9	white	white	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	141	10	noise	noise	NN
work_yhmhpetxjjertmjquf7qfk2lqm	141	11	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	141	12	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	141	13	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	141	14	packet	packet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	141	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	142	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	142	2	white	white	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	142	3	de	de	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	142	4	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	142	5	noising	noise	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	142	6	procedure	procedure	NN
work_yhmhpetxjjertmjquf7qfk2lqm	142	7	contains	contain	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	142	8	three	three	CD
work_yhmhpetxjjertmjquf7qfk2lqm	142	9	steps	step	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	142	10	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	142	11	Bakhtazad	Bakhtazad	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	142	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	142	13	Palazoglu	Palazoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	142	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	142	15	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	142	16	Romagnoli	Romagnoli	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	142	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	142	18	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	142	19	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	142	20	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	142	21	1	1	LS
work_yhmhpetxjjertmjquf7qfk2lqm	142	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	143	1	Decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	143	3	Computing	compute	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	143	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	143	5	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	6	packet	packet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	143	7	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	8	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	143	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	143	10	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	143	11	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	12	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	143	13	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	14	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	143	15	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	143	16	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	143	17	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	143	18	Daubechies	Daubechies	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	143	19	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	20	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	143	21	order	order	NN
work_yhmhpetxjjertmjquf7qfk2lqm	143	22	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	143	23	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	144	1	2	2	LS
work_yhmhpetxjjertmjquf7qfk2lqm	144	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	145	1	Detail	detail	NN
work_yhmhpetxjjertmjquf7qfk2lqm	145	2	coefficient	coefficient	NN
work_yhmhpetxjjertmjquf7qfk2lqm	145	3	thresholding	thresholding	NN
work_yhmhpetxjjertmjquf7qfk2lqm	145	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	145	5	For	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	145	6	each	each	DT
work_yhmhpetxjjertmjquf7qfk2lqm	145	7	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	145	8	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	145	9	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	145	10	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	145	11	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	145	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	145	13	soft	soft	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	145	14	thresholding	thresholding	NN
work_yhmhpetxjjertmjquf7qfk2lqm	145	15	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	145	16	applied	apply	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	145	17	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	145	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	145	19	detail	detail	NN
work_yhmhpetxjjertmjquf7qfk2lqm	145	20	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	145	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	146	1	3	3	LS
work_yhmhpetxjjertmjquf7qfk2lqm	146	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	147	1	Reconstruction	reconstruction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	147	3	Computing	compute	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	147	4	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	5	packet	packet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	6	recon-	recon-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	7	struction	struction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	8	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	147	9	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	147	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	147	11	original	original	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	147	12	approximation	approximation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	13	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	147	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	147	15	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	16	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	147	17	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	147	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	147	19	modified	modify	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	147	20	detail	detail	NN
work_yhmhpetxjjertmjquf7qfk2lqm	147	21	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	147	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	147	23	levels	level	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	147	24	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	147	25	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	147	26	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	147	27	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	147	28	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	148	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	148	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	149	1	3	3	LS
work_yhmhpetxjjertmjquf7qfk2lqm	149	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	150	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	150	2	algorithm	algorithm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	150	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	150	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	150	5	expert	expert	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	150	6	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	150	7	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	150	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	151	1	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	151	2	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	151	3	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	151	4	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	151	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	152	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	152	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	152	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	152	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	152	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	152	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	152	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	152	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	152	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	152	10	229–236232	229–236232	CD
work_yhmhpetxjjertmjquf7qfk2lqm	152	11	iii	iii	CD
work_yhmhpetxjjertmjquf7qfk2lqm	152	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	153	1	Normalization	normalization	NN
work_yhmhpetxjjertmjquf7qfk2lqm	153	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	153	3	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	153	4	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	153	5	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	153	6	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	153	7	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	153	8	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	153	9	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	153	10	normalized	normalized	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	153	11	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	153	12	Eq	Eq	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	153	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	154	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	154	2	5	5	LS
work_yhmhpetxjjertmjquf7qfk2lqm	154	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	154	4	so	so	IN
work_yhmhpetxjjertmjquf7qfk2lqm	154	5	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	154	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	154	7	expected	expected	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	154	8	amplitude	amplitude	NN
work_yhmhpetxjjertmjquf7qfk2lqm	154	9	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	154	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	154	11	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	154	12	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	154	13	not	not	RB
work_yhmhpetxjjertmjquf7qfk2lqm	154	14	affected	affect	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	154	15	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	154	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	154	17	rib	rib	NN
work_yhmhpetxjjertmjquf7qfk2lqm	154	18	cage	cage	NN
work_yhmhpetxjjertmjquf7qfk2lqm	154	19	structure	structure	NN
work_yhmhpetxjjertmjquf7qfk2lqm	154	20	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	154	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	154	22	patient	patient	NN
work_yhmhpetxjjertmjquf7qfk2lqm	154	23	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	155	1	DHSsignal	dhssignal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	155	2	¼	¼	NN
work_yhmhpetxjjertmjquf7qfk2lqm	155	3	DHSsignal	DHSsignal	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	155	4	lðDHSsignalÞmaxl	lðDHSsignalÞmaxl	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	155	5	ð5Þ	ð5Þ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	155	6	3.2	3.2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	155	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	156	1	Feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	2	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	3	Feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	4	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	5	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	156	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	156	7	key	key	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	8	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	156	9	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	10	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	11	so	so	IN
work_yhmhpetxjjertmjquf7qfk2lqm	156	12	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	156	13	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	156	14	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	156	15	arguably	arguably	RB
work_yhmhpetxjjertmjquf7qfk2lqm	156	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	156	17	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	156	18	important	important	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	156	19	component	component	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	20	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	156	21	designing	design	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	156	22	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	156	23	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	24	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	25	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	26	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	156	27	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	156	28	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	29	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	30	since	since	IN
work_yhmhpetxjjertmjquf7qfk2lqm	156	31	even	even	RB
work_yhmhpetxjjertmjquf7qfk2lqm	156	32	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	156	33	best	good	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	156	34	classifier	classifier	NN
work_yhmhpetxjjertmjquf7qfk2lqm	156	35	will	will	MD
work_yhmhpetxjjertmjquf7qfk2lqm	156	36	perform	perform	VB
work_yhmhpetxjjertmjquf7qfk2lqm	156	37	poorly	poorly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	156	38	if	if	IN
work_yhmhpetxjjertmjquf7qfk2lqm	156	39	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	156	40	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	156	41	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	156	42	not	not	RB
work_yhmhpetxjjertmjquf7qfk2lqm	156	43	chosen	choose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	156	44	well	well	RB
work_yhmhpetxjjertmjquf7qfk2lqm	156	45	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	157	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	157	2	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	157	3	extractor	extractor	NN
work_yhmhpetxjjertmjquf7qfk2lqm	157	4	should	should	MD
work_yhmhpetxjjertmjquf7qfk2lqm	157	5	reduce	reduce	VB
work_yhmhpetxjjertmjquf7qfk2lqm	157	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	157	7	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	157	8	vector	vector	NN
work_yhmhpetxjjertmjquf7qfk2lqm	157	9	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	157	10	i.e.	i.e.	FW
work_yhmhpetxjjertmjquf7qfk2lqm	158	1	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	158	2	original	original	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	158	3	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	158	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	158	5	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	158	6	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	158	7	lower	low	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	158	8	dimension	dimension	NN
work_yhmhpetxjjertmjquf7qfk2lqm	158	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	158	10	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	158	11	contains	contain	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	158	12	most	most	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	158	13	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	158	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	158	15	useful	useful	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	158	16	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	158	17	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	158	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	158	19	original	original	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	158	20	vector	vector	NN
work_yhmhpetxjjertmjquf7qfk2lqm	158	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	159	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	159	2	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	159	3	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	159	4	patterns	pattern	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	159	5	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	159	6	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	159	7	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	159	8	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	159	9	rich	rich	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	159	10	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	159	11	detail	detail	NN
work_yhmhpetxjjertmjquf7qfk2lqm	159	12	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	159	13	highly	highly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	159	14	non-	non-	RB
work_yhmhpetxjjertmjquf7qfk2lqm	159	15	stationary	stationary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	159	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	160	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	160	2	goal	goal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	160	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	160	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	160	5	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	160	6	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	160	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	160	8	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	160	9	extract	extract	VB
work_yhmhpetxjjertmjquf7qfk2lqm	160	10	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	160	11	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	160	12	these	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	160	13	patterns	pattern	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	160	14	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	160	15	reliable	reliable	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	160	16	intelligent	intelligent	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	160	17	classi-	classi-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	160	18	fication	fication	NN
work_yhmhpetxjjertmjquf7qfk2lqm	160	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	161	1	After	after	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	3	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	4	pre	pre	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	5	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	161	6	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	7	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	161	8	been	be	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	161	9	realized	realize	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	161	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	161	11	three	three	CD
work_yhmhpetxjjertmjquf7qfk2lqm	161	12	steps	step	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	161	13	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	161	14	proposed	propose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	161	15	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	16	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	17	paper	paper	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	18	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	161	19	extract	extract	VB
work_yhmhpetxjjertmjquf7qfk2lqm	161	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	21	characteristics	characteristic	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	161	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	23	these	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	24	waveforms	waveform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	161	25	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	161	26	MATLAB	MATLAB	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	27	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	28	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	29	Wavelet	Wavelet	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	30	Toolbox	Toolbox	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	31	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	161	32	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	33	Signal	Signal	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	34	Processing	Processing	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	35	Toolbox	Toolbox	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	36	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	161	37	i.	i.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	38	Wavelet	Wavelet	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	39	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	40	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	161	41	For	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	42	wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	161	43	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	44	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	45	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	46	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	47	waveforms	waveform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	161	48	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	161	49	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	161	50	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	51	structure	structure	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	52	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	161	53	reconstruction	reconstruction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	54	tree	tree	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	55	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	56	level	level	NN
work_yhmhpetxjjertmjquf7qfk2lqm	161	57	12	12	CD
work_yhmhpetxjjertmjquf7qfk2lqm	161	58	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	59	shown	show	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	161	60	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	161	61	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	161	62	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	162	1	4	4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	162	2	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	162	3	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	162	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	163	1	Wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	163	2	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	163	3	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	163	4	applied	apply	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	163	5	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	163	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	163	7	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	163	8	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	163	9	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	163	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	163	11	Daubechies-10	daubechies-10	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	163	12	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	163	13	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	163	14	filters	filter	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	163	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	164	1	Thus	thus	RB
work_yhmhpetxjjertmjquf7qfk2lqm	164	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	164	3	obtaining	obtain	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	164	4	two	two	CD
work_yhmhpetxjjertmjquf7qfk2lqm	164	5	types	type	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	164	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	164	7	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	164	8	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	164	9	one-	one-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	164	10	approximation	approximation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	11	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	164	12	cA	ca	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	164	14	twelve	twelve	CD
work_yhmhpetxjjertmjquf7qfk2lqm	164	15	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	164	16	detail	detail	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	17	coef-	coef-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	18	ficients	ficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	164	19	c	c	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	164	20	D.	D.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	164	21	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	164	22	representative	representative	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	164	23	example	example	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	24	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	164	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	164	26	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	27	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	28	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	164	29	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	164	30	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	164	31	sound	sound	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	164	32	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	33	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	164	34	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	164	35	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	36	aortic	aortic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	37	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	164	38	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	164	39	shown	show	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	164	40	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	164	41	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	164	42	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	165	1	5	5	LS
work_yhmhpetxjjertmjquf7qfk2lqm	165	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	165	3	ii	ii	UH
work_yhmhpetxjjertmjquf7qfk2lqm	165	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	166	1	Short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	166	2	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	166	3	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	166	4	Fourier	fouri	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	166	5	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	166	6	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	166	7	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	166	8	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	166	9	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	166	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	166	11	under-	under-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	166	12	stood	stand	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	166	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	166	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	166	15	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	166	16	robust	robust	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	166	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	166	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	166	19	various	various	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	166	20	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	166	21	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	166	22	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	166	23	representations	representation	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	166	24	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	167	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	167	2	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	167	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	4	waveforms	waveform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	167	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	6	terminal	terminal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	167	7	nodes	node	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	167	8	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	167	9	computed	compute	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	167	10	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	167	11	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	167	12	Hanning	hanne	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	167	13	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	167	14	function	function	NN
work_yhmhpetxjjertmjquf7qfk2lqm	167	15	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	16	25	25	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	17	000-points	000-points	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	18	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	167	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	167	20	sections	section	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	167	21	overlap	overlap	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	167	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	23	12	12	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	24	500	500	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	25	points	point	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	167	26	between	between	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	27	scans	scan	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	167	28	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	167	29	zero	zero	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	30	padding	pad	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	167	31	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	167	32	sections	section	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	167	33	if	if	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	34	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	167	35	length	length	NN
work_yhmhpetxjjertmjquf7qfk2lqm	167	36	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	167	37	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	167	38	window	window	NN
work_yhmhpetxjjertmjquf7qfk2lqm	167	39	exceeds	exceed	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	167	40	25	25	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	41	000-points	000-points	CD
work_yhmhpetxjjertmjquf7qfk2lqm	167	42	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	168	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	168	2	representative	representative	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	168	3	example	example	NN
work_yhmhpetxjjertmjquf7qfk2lqm	168	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	168	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	168	6	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	168	7	spectrums	spectrum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	168	8	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	168	9	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	168	10	terminal	terminal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	168	11	node	node	NN
work_yhmhpetxjjertmjquf7qfk2lqm	168	12	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	168	13	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	168	14	shown	show	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	168	15	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	168	16	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	168	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	169	1	6	6	CD
work_yhmhpetxjjertmjquf7qfk2lqm	169	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	169	3	iii	iii	CD
work_yhmhpetxjjertmjquf7qfk2lqm	169	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	170	1	Wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	170	2	entropy	entropy	RB
work_yhmhpetxjjertmjquf7qfk2lqm	170	3	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	170	4	We	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	170	5	next	next	RB
work_yhmhpetxjjertmjquf7qfk2lqm	170	6	calculated	calculate	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	170	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	170	8	norm	norm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	170	9	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	170	10	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	170	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	171	1	4	4	LS
work_yhmhpetxjjertmjquf7qfk2lqm	171	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	172	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	172	2	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	172	3	structure	structure	NN
work_yhmhpetxjjertmjquf7qfk2lqm	172	4	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	172	5	level-12	level-12	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	172	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	173	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	173	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	174	1	5	5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	174	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	175	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	175	2	terminal	terminal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	175	3	node	node	NN
work_yhmhpetxjjertmjquf7qfk2lqm	175	4	waveforms	waveform	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	175	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	175	6	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	175	7	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	175	8	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	175	9	12	12	CD
work_yhmhpetxjjertmjquf7qfk2lqm	175	10	levels	level	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	175	11	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	175	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	175	13	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	175	14	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	175	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	176	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	176	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	177	1	6	6	CD
work_yhmhpetxjjertmjquf7qfk2lqm	177	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	178	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	178	2	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	178	3	spectrums	spectrum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	178	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	178	5	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	178	6	terminal	terminal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	178	7	node	node	NN
work_yhmhpetxjjertmjquf7qfk2lqm	178	8	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	178	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	179	1	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	179	2	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	179	3	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	179	4	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	179	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	180	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	180	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	180	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	180	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	180	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	180	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	180	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	180	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	180	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	180	10	229–236	229–236	CD
work_yhmhpetxjjertmjquf7qfk2lqm	180	11	233	233	CD
work_yhmhpetxjjertmjquf7qfk2lqm	180	12	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	180	13	defined	define	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	180	14	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	180	15	Eq	Eq	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	180	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	181	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	181	2	6	6	CD
work_yhmhpetxjjertmjquf7qfk2lqm	181	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	181	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	181	5	waveforms	waveform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	181	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	181	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	181	8	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	181	9	spectrums	spectrum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	181	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	182	1	EðsÞ	EðsÞ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	182	2	¼	¼	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	182	3	X	X	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	182	4	i	i	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	182	5	lsil	lsil	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	182	6	3=2	3=2	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	182	7	ð6Þ	ð6þ	NN
work_yhmhpetxjjertmjquf7qfk2lqm	182	8	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	182	9	s	s	POS
work_yhmhpetxjjertmjquf7qfk2lqm	182	10	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	182	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	182	12	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	182	13	spectrum	spectrum	NN
work_yhmhpetxjjertmjquf7qfk2lqm	182	14	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	182	15	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	182	16	si	si	NN
work_yhmhpetxjjertmjquf7qfk2lqm	182	17	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	182	18	represents	represent	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	182	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	182	20	i	i	NN
work_yhmhpetxjjertmjquf7qfk2lqm	182	21	coefficients	coefficient	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	182	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	182	23	s.	s.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	182	24	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	182	25	resultant	resultant	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	182	26	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	182	27	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	182	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	182	29	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	182	30	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	182	31	normalized	normalize	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	182	32	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	182	33	1/50	1/50	CD
work_yhmhpetxjjertmjquf7qfk2lqm	182	34	000	000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	182	35	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	182	36	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	182	37	plotted	plot	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	182	38	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	182	39	Fig	Fig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	182	40	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	183	1	7	7	LS
work_yhmhpetxjjertmjquf7qfk2lqm	183	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	184	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	184	2	plot	plot	NN
work_yhmhpetxjjertmjquf7qfk2lqm	184	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	184	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	184	5	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	184	6	data	data	NN
work_yhmhpetxjjertmjquf7qfk2lqm	184	7	includes	include	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	184	8	91	91	CD
work_yhmhpetxjjertmjquf7qfk2lqm	184	9	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	184	10	obtained	obtain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	184	11	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	184	12	13	13	CD
work_yhmhpetxjjertmjquf7qfk2lqm	184	13	terminal	terminal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	184	14	nodes	node	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	184	15	where	where	WRB
work_yhmhpetxjjertmjquf7qfk2lqm	184	16	each	each	DT
work_yhmhpetxjjertmjquf7qfk2lqm	184	17	one	one	NN
work_yhmhpetxjjertmjquf7qfk2lqm	184	18	contains	contain	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	184	19	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	184	20	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	184	21	seven	seven	CD
work_yhmhpetxjjertmjquf7qfk2lqm	184	22	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	184	23	spectrums	spectrum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	184	24	per	per	IN
work_yhmhpetxjjertmjquf7qfk2lqm	184	25	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	184	26	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	184	27	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	185	1	Thus	thus	RB
work_yhmhpetxjjertmjquf7qfk2lqm	185	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	185	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	185	4	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	185	5	vector	vector	NN
work_yhmhpetxjjertmjquf7qfk2lqm	185	6	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	185	7	extracted	extract	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	185	8	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	185	9	computing	compute	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	185	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	185	11	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	185	12	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	185	13	values	value	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	185	14	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	185	15	each	each	DT
work_yhmhpetxjjertmjquf7qfk2lqm	185	16	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	185	17	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	185	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	186	1	3.3	3.3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	186	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	187	1	Classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	2	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	187	3	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	187	4	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	5	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	187	6	objective	objective	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	187	8	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	9	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	187	10	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	187	11	demonstrate	demonstrate	VB
work_yhmhpetxjjertmjquf7qfk2lqm	187	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	187	13	effectiveness	effectiveness	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	187	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	187	16	proposed	propose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	187	17	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	18	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	19	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	187	20	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	187	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	187	22	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	187	23	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	187	24	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	188	1	For	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	188	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	188	3	purpose	purpose	NN
work_yhmhpetxjjertmjquf7qfk2lqm	188	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	188	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	188	6	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	188	7	vectors	vector	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	188	8	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	188	9	applied	apply	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	188	10	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	188	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	188	12	input	input	NN
work_yhmhpetxjjertmjquf7qfk2lqm	188	13	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	188	14	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	188	15	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	188	16	classifier	classifier	NN
work_yhmhpetxjjertmjquf7qfk2lqm	188	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	189	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	189	2	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	189	3	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	189	4	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	189	5	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	189	6	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	189	7	performed	perform	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	189	8	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	189	9	MATLAB	MATLAB	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	189	10	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	189	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	189	12	Neural	Neural	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	189	13	Network	Network	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	189	14	Toolbox	Toolbox	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	189	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	190	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	190	2	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	190	3	parameters	parameter	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	190	4	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	190	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	190	6	structure	structure	NN
work_yhmhpetxjjertmjquf7qfk2lqm	190	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	190	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	190	9	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	190	10	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	190	11	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	190	12	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	190	13	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	190	14	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	190	15	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	190	16	as	as	RB
work_yhmhpetxjjertmjquf7qfk2lqm	190	17	listed	list	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	190	18	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	190	19	Table	table	NN
work_yhmhpetxjjertmjquf7qfk2lqm	190	20	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	190	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	191	1	These	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	2	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	191	3	selected	select	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	191	4	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	6	best	good	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	191	7	performance	performance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	191	9	after	after	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	10	several	several	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	191	11	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	191	12	experiments	experiment	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	191	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	191	14	such	such	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	191	15	as	as	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	17	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	18	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	19	hidden	hide	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	191	20	layers	layer	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	191	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	191	22	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	23	size	size	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	24	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	25	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	26	hidden	hide	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	191	27	layers	layer	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	191	28	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	191	29	value	value	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	30	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	31	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	32	moment	moment	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	33	constant	constant	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	191	34	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	191	35	learning	learning	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	36	rate	rate	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	37	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	191	38	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	191	39	type	type	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	40	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	191	41	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	191	42	activation	activation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	191	43	functions	function	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	191	44	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	192	1	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	192	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	193	1	8	8	CD
work_yhmhpetxjjertmjquf7qfk2lqm	193	2	shows	show	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	193	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	193	4	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	193	5	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	193	6	performance	performance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	193	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	194	1	4	4	LS
work_yhmhpetxjjertmjquf7qfk2lqm	194	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	195	1	Experimental	experimental	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	195	2	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	195	3	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	195	4	We	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	195	5	performed	perform	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	195	6	experiments	experiment	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	195	7	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	195	8	215	215	CD
work_yhmhpetxjjertmjquf7qfk2lqm	195	9	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	195	10	aortic	aortic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	195	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	195	12	mitral	mitral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	195	13	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	195	14	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	195	15	studies	study	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	195	16	taken	take	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	195	17	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	195	18	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	195	19	indi-	indi-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	195	20	viduals	vidual	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	195	21	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	196	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	196	2	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	196	3	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	196	4	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	196	5	part	part	NN
work_yhmhpetxjjertmjquf7qfk2lqm	196	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	196	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	196	8	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	196	9	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	196	10	samples	sample	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	196	11	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	196	12	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	196	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	196	14	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	196	15	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	196	16	another	another	DT
work_yhmhpetxjjertmjquf7qfk2lqm	196	17	part	part	NN
work_yhmhpetxjjertmjquf7qfk2lqm	196	18	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	196	19	testing	test	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	196	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	196	21	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	196	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	197	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	197	2	these	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	197	3	experiments	experiment	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	197	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	197	5	100	100	CD
work_yhmhpetxjjertmjquf7qfk2lqm	197	6	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	197	7	correct	correct	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	197	8	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	197	9	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	197	10	obtained	obtain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	197	11	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	197	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	197	13	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	197	14	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	197	15	among	among	IN
work_yhmhpetxjjertmjquf7qfk2lqm	197	16	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	197	17	two	two	CD
work_yhmhpetxjjertmjquf7qfk2lqm	197	18	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	197	19	classes	class	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	197	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	198	1	It	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	198	2	clearly	clearly	RB
work_yhmhpetxjjertmjquf7qfk2lqm	198	3	indicates	indicate	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	198	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	198	5	effectiveness	effectiveness	NN
work_yhmhpetxjjertmjquf7qfk2lqm	198	6	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	198	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	198	8	reliability	reliability	NN
work_yhmhpetxjjertmjquf7qfk2lqm	198	9	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	198	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	198	11	proposed	propose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	198	12	approach	approach	NN
work_yhmhpetxjjertmjquf7qfk2lqm	198	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	198	14	extracting	extract	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	198	15	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	198	16	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	198	17	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	198	18	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	198	19	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	198	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	198	21	purpose	purpose	NN
work_yhmhpetxjjertmjquf7qfk2lqm	198	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	198	23	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	198	24	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	198	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	199	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	199	2	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	199	3	testing	testing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	199	4	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	199	5	are	be	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	199	6	given	give	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	199	7	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	199	8	Table	table	NN
work_yhmhpetxjjertmjquf7qfk2lqm	199	9	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	199	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	200	1	5	5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	200	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	201	1	Discussion	discussion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	2	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	201	3	conclusion	conclusion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	4	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	201	5	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	6	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	201	8	we	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	201	9	developed	develop	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	201	10	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	11	expert	expert	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	201	12	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	201	13	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	14	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	201	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	16	interpretation	interpretation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	201	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	19	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	201	20	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	201	21	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	201	22	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	23	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	201	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	201	26	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	27	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	28	performance	performance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	29	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	201	30	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	31	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	32	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	201	33	demonstrated	demonstrate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	201	34	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	201	35	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	201	36	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	37	aortic	aortic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	201	38	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	201	39	mitral	mitral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	201	40	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	201	41	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	202	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	202	2	task	task	NN
work_yhmhpetxjjertmjquf7qfk2lqm	202	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	202	4	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	202	5	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	202	6	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	202	7	performed	perform	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	202	8	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	202	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	202	10	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	202	11	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	202	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	203	1	7	7	LS
work_yhmhpetxjjertmjquf7qfk2lqm	203	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	204	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	204	2	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	204	3	entropy	entropy	NN
work_yhmhpetxjjertmjquf7qfk2lqm	204	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	204	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	204	6	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	204	7	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	204	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	205	1	Table	table	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	2	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	3	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	4	architecture	architecture	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	205	6	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	7	parameters	parameter	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	205	8	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	9	architecture	architecture	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	10	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	205	11	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	12	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	205	13	layers	layer	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	205	14	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	15	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	205	16	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	205	18	neuron	neuron	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	19	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	205	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	205	21	layers	layer	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	205	22	Input	input	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	23	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	205	24	100	100	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	25	Hidden	hide	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	205	26	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	205	27	50	50	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	28	Output	output	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	29	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	205	30	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	31	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	205	32	initial	initial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	205	33	weights	weight	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	205	34	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	205	35	biases	bias	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	205	36	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	205	37	Nguyen	Nguyen	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	38	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	205	39	Widow	Widow	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	40	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	41	Activation	Activation	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	42	functions	function	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	205	43	Log	Log	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	44	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	205	45	sigmoid	sigmoid	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	46	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	47	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	48	parameters	parameter	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	205	49	Learning	Learning	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	50	rule	rule	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	51	Back	back	RB
work_yhmhpetxjjertmjquf7qfk2lqm	205	52	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	205	53	propagation	propagation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	54	Adaptive	adaptive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	205	55	learning	learning	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	56	rate	rate	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	57	Initial	initial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	205	58	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	205	59	0.0001	0.0001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	60	Increase	increase	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	61	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	205	62	1.05	1.05	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	63	Decrease	decrease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	64	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	205	65	0.7	0.7	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	66	Momentum	momentum	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	67	constant	constant	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	205	68	0.95	0.95	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	69	Sum	Sum	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	205	70	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	205	71	squared	squared	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	205	72	error	error	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	73	0.00001	0.00001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	205	74	Fig	fig	NN
work_yhmhpetxjjertmjquf7qfk2lqm	205	75	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	206	1	8	8	LS
work_yhmhpetxjjertmjquf7qfk2lqm	206	2	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	207	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	207	2	ANN	ANN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	207	3	training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	207	4	performance	performance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	207	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	208	1	Table	table	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	2	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	3	Performance	Performance	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	208	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	208	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	6	expert	expert	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	7	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	8	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	9	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	10	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	11	aortic	aortic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	12	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	13	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	14	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	15	mitral	mitral	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	16	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	17	N	N	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	208	18	AN	AN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	208	19	N	N	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	208	20	AN	an	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	21	Total	total	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	22	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	23	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	208	24	samples	sample	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	208	25	31	31	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	26	40	40	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	27	19	19	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	28	33	33	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	29	Correct	correct	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	30	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	31	#	#	$
work_yhmhpetxjjertmjquf7qfk2lqm	208	32	28	28	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	33	38	38	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	34	19	19	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	35	32	32	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	36	Incorrect	incorrect	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	37	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	38	#	#	$
work_yhmhpetxjjertmjquf7qfk2lqm	208	39	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	40	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	41	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	208	42	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	43	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	44	average	average	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	45	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	46	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	47	98.7	98.7	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	48	99.8	99.8	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	49	98.5	98.5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	50	99.4	99.4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	51	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	52	highest	high	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	208	53	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	54	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	55	100	100	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	56	100	100	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	57	100	100	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	58	100	100	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	59	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	60	lowest	low	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	208	61	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	62	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	208	63	52.1	52.1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	64	84.2	84.2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	65	72.3	72.3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	66	94.2	94.2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	67	N	n	CD
work_yhmhpetxjjertmjquf7qfk2lqm	208	68	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	208	69	normal	normal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	70	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	208	71	AN	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	208	72	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	208	73	abnormal	abnormal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	208	74	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	209	1	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	209	2	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	209	3	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	209	4	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	209	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	210	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	210	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	210	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	210	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	210	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	210	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	210	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	210	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	210	10	229–236234	229–236234	CD
work_yhmhpetxjjertmjquf7qfk2lqm	210	11	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	12	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	210	13	multi	multi	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	210	14	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	210	15	scale	scale	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	210	16	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	210	18	STFT	STFT	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	210	19	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	210	20	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	21	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	210	22	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	23	representations	representation	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	210	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	210	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	210	26	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	210	27	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	28	entropy	entropy	RB
work_yhmhpetxjjertmjquf7qfk2lqm	210	29	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	210	30	while	while	IN
work_yhmhpetxjjertmjquf7qfk2lqm	210	31	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	32	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	210	33	carried	carry	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	210	34	out	out	RP
work_yhmhpetxjjertmjquf7qfk2lqm	210	35	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	210	36	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	210	37	back	back	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	210	38	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	210	39	propagation	propagation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	40	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	210	41	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	210	42	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	211	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	211	2	stated	state	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	211	3	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	211	4	show	show	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	211	5	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	211	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	211	7	proposed	propose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	211	8	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	211	9	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	211	10	make	make	VB
work_yhmhpetxjjertmjquf7qfk2lqm	211	11	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	211	12	efficient	efficient	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	211	13	interpretation	interpretation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	211	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	212	1	Although	although	IN
work_yhmhpetxjjertmjquf7qfk2lqm	212	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	212	3	abnormal	abnormal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	212	4	subjects	subject	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	212	5	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	212	6	attained	attain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	212	7	95.9	95.9	CD
work_yhmhpetxjjertmjquf7qfk2lqm	212	8	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	212	9	correct	correct	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	212	10	classifi-	classifi-	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	212	11	cation	cation	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	212	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	212	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	212	14	normal	normal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	212	15	subjects	subject	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	212	16	were	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	212	17	provided	provide	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	212	18	94	94	CD
work_yhmhpetxjjertmjquf7qfk2lqm	212	19	%	%	NN
work_yhmhpetxjjertmjquf7qfk2lqm	212	20	correct	correct	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	212	21	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	212	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	213	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	213	2	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	3	choice	choice	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	4	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	213	5	motivated	motivate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	213	6	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	213	7	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	213	8	realization	realization	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	9	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	213	10	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	11	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	12	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	213	13	essentially	essentially	RB
work_yhmhpetxjjertmjquf7qfk2lqm	213	14	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	213	15	representation	representation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	213	17	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	213	18	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	19	at	at	IN
work_yhmhpetxjjertmjquf7qfk2lqm	213	20	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	213	21	variety	variety	NN
work_yhmhpetxjjertmjquf7qfk2lqm	213	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	213	23	resolutions	resolution	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	213	24	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	214	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	214	2	brief	brief	NN
work_yhmhpetxjjertmjquf7qfk2lqm	214	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	214	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	214	5	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	214	6	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	214	7	has	have	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	214	8	been	be	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	214	9	demonstrated	demonstrate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	214	10	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	214	11	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	214	12	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	214	13	effective	effective	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	214	14	tool	tool	NN
work_yhmhpetxjjertmjquf7qfk2lqm	214	15	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	214	16	extracting	extract	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	214	17	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	214	18	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	214	19	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	214	20	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	214	21	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	214	22	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	215	1	However	however	RB
work_yhmhpetxjjertmjquf7qfk2lqm	215	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	215	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	215	4	proposed	propose	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	215	5	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	215	6	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	215	7	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	215	8	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	215	9	robust	robust	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	215	10	against	against	IN
work_yhmhpetxjjertmjquf7qfk2lqm	215	11	noise	noise	NN
work_yhmhpetxjjertmjquf7qfk2lqm	215	12	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	215	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	215	14	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	215	15	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	215	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	216	1	In	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	216	2	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	216	3	paper	paper	NN
work_yhmhpetxjjertmjquf7qfk2lqm	216	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	216	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	216	6	application	application	NN
work_yhmhpetxjjertmjquf7qfk2lqm	216	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	216	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	216	9	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	216	10	entropy	entropy	RB
work_yhmhpetxjjertmjquf7qfk2lqm	216	11	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	216	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	216	13	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	216	14	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	216	15	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	216	16	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	216	17	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	216	18	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	216	19	shown	show	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	216	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	217	1	Wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	217	2	entropy	entropy	RB
work_yhmhpetxjjertmjquf7qfk2lqm	217	3	proved	prove	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	217	4	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	217	5	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	217	6	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	217	7	very	very	RB
work_yhmhpetxjjertmjquf7qfk2lqm	217	8	useful	useful	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	217	9	tool	tool	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	10	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	217	11	characterizing	characterize	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	217	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	217	13	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	217	14	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	217	16	furthermore	furthermore	RB
work_yhmhpetxjjertmjquf7qfk2lqm	217	17	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	217	18	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	19	obtained	obtain	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	217	20	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	217	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	217	22	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	23	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	217	24	probed	probe	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	217	25	not	not	RB
work_yhmhpetxjjertmjquf7qfk2lqm	217	26	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	217	27	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	217	28	trivially	trivially	RB
work_yhmhpetxjjertmjquf7qfk2lqm	217	29	related	relate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	217	30	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	217	31	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	217	32	energy	energy	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	33	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	217	34	consequently	consequently	RB
work_yhmhpetxjjertmjquf7qfk2lqm	217	35	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	217	36	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	217	37	amplitude	amplitude	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	38	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	217	39	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	217	40	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	218	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	218	2	means	mean	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	218	3	that	that	IN
work_yhmhpetxjjertmjquf7qfk2lqm	218	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	218	5	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	218	6	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	218	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	218	8	new	new	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	218	9	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	218	10	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	218	11	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	218	12	accessed	access	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	218	13	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	218	14	an	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	218	15	approach	approach	NN
work_yhmhpetxjjertmjquf7qfk2lqm	218	16	different	different	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	218	17	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	218	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	218	19	traditional	traditional	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	218	20	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	218	21	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	218	22	amplitude	amplitude	NN
work_yhmhpetxjjertmjquf7qfk2lqm	218	23	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	218	24	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	218	25	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	218	26	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	219	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	219	2	most	most	RBS
work_yhmhpetxjjertmjquf7qfk2lqm	219	3	important	important	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	219	4	aspect	aspect	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	219	7	expert	expert	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	219	8	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	219	9	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	10	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	219	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	219	12	ability	ability	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	13	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	14	self	self	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	15	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	219	16	organization	organization	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	17	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	219	19	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	219	20	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	21	without	without	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	22	requirements	requirement	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	219	23	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	24	programming	programming	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	219	26	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	219	27	immediate	immediate	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	219	28	response	response	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	29	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	30	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	219	31	trained	train	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	219	32	net	net	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	33	during	during	IN
work_yhmhpetxjjertmjquf7qfk2lqm	219	34	real	real	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	219	35	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	219	36	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	219	37	applications	application	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	219	38	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	220	1	These	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	220	2	features	feature	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	220	3	make	make	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	220	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	220	5	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	220	6	diagnostic	diagnostic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	220	7	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	220	8	suitable	suitable	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	220	9	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	220	10	automatic	automatic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	220	11	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	220	12	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	220	13	interpretation	interpretation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	220	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	220	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	220	16	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	220	17	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	220	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	221	1	These	these	DT
work_yhmhpetxjjertmjquf7qfk2lqm	221	2	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	221	3	point	point	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	221	4	out	out	RP
work_yhmhpetxjjertmjquf7qfk2lqm	221	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	221	6	ability	ability	NN
work_yhmhpetxjjertmjquf7qfk2lqm	221	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	221	8	design	design	NN
work_yhmhpetxjjertmjquf7qfk2lqm	221	9	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	221	10	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	221	11	new	new	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	221	12	intelligent	intelligent	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	221	13	assistance	assistance	NN
work_yhmhpetxjjertmjquf7qfk2lqm	221	14	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	221	15	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	221	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	222	1	The	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	222	2	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	222	3	performances	performance	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	222	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	222	5	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	222	6	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	222	7	shows	show	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	222	8	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	222	9	advantages	advantage	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	222	10	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	222	11	this	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	222	12	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	222	13	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	222	14	it	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	222	15	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	222	16	rapid	rapid	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	222	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	222	18	easy	easy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	222	19	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	222	20	operate	operate	VB
work_yhmhpetxjjertmjquf7qfk2lqm	222	21	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	222	22	non-	non-	RB
work_yhmhpetxjjertmjquf7qfk2lqm	222	23	invasive	invasive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	222	24	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	222	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	222	26	not	not	RB
work_yhmhpetxjjertmjquf7qfk2lqm	222	27	expensive	expensive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	222	28	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	223	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	223	2	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	223	3	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	223	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	223	5	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	223	6	better	well	RBR
work_yhmhpetxjjertmjquf7qfk2lqm	223	7	clinical	clinical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	223	8	application	application	NN
work_yhmhpetxjjertmjquf7qfk2lqm	223	9	over	over	IN
work_yhmhpetxjjertmjquf7qfk2lqm	223	10	others	other	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	223	11	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	223	12	especially	especially	RB
work_yhmhpetxjjertmjquf7qfk2lqm	223	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	223	14	earlier	early	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	223	15	survey	survey	NN
work_yhmhpetxjjertmjquf7qfk2lqm	223	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	223	17	population	population	NN
work_yhmhpetxjjertmjquf7qfk2lqm	223	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	224	1	However	however	RB
work_yhmhpetxjjertmjquf7qfk2lqm	224	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	224	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	224	4	position	position	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	224	6	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	224	7	ultrasound	ultrasound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	8	probe	probe	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	224	10	which	which	WDT
work_yhmhpetxjjertmjquf7qfk2lqm	224	11	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	224	12	used	use	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	224	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	224	14	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	224	15	acquisition	acquisition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	16	from	from	IN
work_yhmhpetxjjertmjquf7qfk2lqm	224	17	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	224	18	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	19	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	224	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	224	21	must	must	MD
work_yhmhpetxjjertmjquf7qfk2lqm	224	22	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	224	23	taken	take	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	224	24	into	into	IN
work_yhmhpetxjjertmjquf7qfk2lqm	224	25	consideration	consideration	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	26	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	224	27	physician	physician	NN
work_yhmhpetxjjertmjquf7qfk2lqm	224	28	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	225	1	Although	although	IN
work_yhmhpetxjjertmjquf7qfk2lqm	225	2	our	-PRON-	PRP$
work_yhmhpetxjjertmjquf7qfk2lqm	225	3	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	225	4	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	225	5	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	225	6	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	225	7	carried	carry	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	225	8	out	out	RP
work_yhmhpetxjjertmjquf7qfk2lqm	225	9	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	225	10	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	225	11	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	225	12	aortic	aortic	NN
work_yhmhpetxjjertmjquf7qfk2lqm	225	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	225	14	mitral	mitral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	225	15	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	225	16	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	225	17	similar	similar	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	225	18	results	result	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	225	19	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	225	20	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	225	21	other	other	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	225	22	valves	valve	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	225	23	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	225	24	tricuspid	tricuspid	NN
work_yhmhpetxjjertmjquf7qfk2lqm	225	25	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	225	26	pulmonary	pulmonary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	225	27	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	225	28	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	225	29	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	225	30	other	other	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	225	31	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	225	32	studies	study	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	225	33	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	225	34	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	225	35	expected	expect	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	225	36	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	226	1	Besides	besides	IN
work_yhmhpetxjjertmjquf7qfk2lqm	226	2	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	226	3	feasibility	feasibility	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	226	5	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	226	6	real	real	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	226	7	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	226	8	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	9	implementation	implementation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	10	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	226	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	226	12	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	13	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	14	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	226	16	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	226	17	increasing	increase	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	226	18	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	226	19	variety	variety	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	20	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	226	21	number	number	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	22	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	226	23	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	226	24	signals	signal	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	226	25	additional	additional	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	226	26	information	information	NN
work_yhmhpetxjjertmjquf7qfk2lqm	226	27	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	226	28	i.e.	i.e.	FW
work_yhmhpetxjjertmjquf7qfk2lqm	227	1	quantification	quantification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	227	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	227	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	227	4	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	227	5	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	227	6	regurgitation	regurgitation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	227	7	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	227	8	stenosis	stenosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	227	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	227	10	can	can	MD
work_yhmhpetxjjertmjquf7qfk2lqm	227	11	be	be	VB
work_yhmhpetxjjertmjquf7qfk2lqm	227	12	provided	provide	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	227	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	227	14	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	227	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	228	1	Acknowledgments	acknowledgment	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	228	2	We	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	228	3	want	want	VBP
work_yhmhpetxjjertmjquf7qfk2lqm	228	4	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	228	5	thank	thank	VB
work_yhmhpetxjjertmjquf7qfk2lqm	228	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	228	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	228	8	Cardiology	Cardiology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	9	Department	Department	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	10	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	228	11	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	228	12	Firat	Firat	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	13	Medicine	Medicine	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	14	Center	Center	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	228	16	Elazig	Elazig	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	228	18	Turkey	Turkey	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	19	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	228	20	providing	provide	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	228	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	228	22	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	228	23	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	228	24	to	to	IN
work_yhmhpetxjjertmjquf7qfk2lqm	228	25	us	-PRON-	PRP
work_yhmhpetxjjertmjquf7qfk2lqm	228	26	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	229	1	This	this	DT
work_yhmhpetxjjertmjquf7qfk2lqm	229	2	work	work	NN
work_yhmhpetxjjertmjquf7qfk2lqm	229	3	was	be	VBD
work_yhmhpetxjjertmjquf7qfk2lqm	229	4	supported	support	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	229	5	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	229	6	Firat	Firat	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	229	7	University	University	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	229	8	Research	Research	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	229	9	Fund	Fund	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	229	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	230	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	230	2	Project	project	NN
work_yhmhpetxjjertmjquf7qfk2lqm	230	3	No	no	NN
work_yhmhpetxjjertmjquf7qfk2lqm	230	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	230	5	527	527	CD
work_yhmhpetxjjertmjquf7qfk2lqm	230	6	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	230	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	231	1	References	References	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	231	2	Akay	Akay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	231	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	231	4	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	231	5	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	231	6	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	231	7	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	231	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	232	1	Wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	232	2	applications	application	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	232	3	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	232	4	medicine	medicine	NN
work_yhmhpetxjjertmjquf7qfk2lqm	232	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	233	1	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	233	2	Spectrum	Spectrum	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	233	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	233	4	34	34	CD
work_yhmhpetxjjertmjquf7qfk2lqm	233	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	233	6	50	50	CD
work_yhmhpetxjjertmjquf7qfk2lqm	233	7	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	233	8	56	56	CD
work_yhmhpetxjjertmjquf7qfk2lqm	233	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	234	1	Akay	Akay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	234	3	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	234	5	Akay	Akay	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	234	7	Y.	Y.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	8	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	234	10	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	234	11	Welkowitz	Welkowitz	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	234	13	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	234	14	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	234	15	1992	1992	CD
work_yhmhpetxjjertmjquf7qfk2lqm	234	16	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	234	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	235	1	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	235	2	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	235	3	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	235	4	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	235	5	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	235	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	235	7	coronary	coronary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	235	8	artery	artery	NN
work_yhmhpetxjjertmjquf7qfk2lqm	235	9	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	235	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	236	1	International	International	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	236	2	Joint	Joint	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	236	3	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	236	4	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	236	5	Neural	Neural	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	236	6	Networks	Networks	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	236	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	236	8	IJCNN	IJCNN	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	236	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	236	10	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	236	11	Vol	Vol	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	236	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	237	1	2	2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	237	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	237	3	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	237	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	238	1	419	419	CD
work_yhmhpetxjjertmjquf7qfk2lqm	238	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	238	3	424	424	CD
work_yhmhpetxjjertmjquf7qfk2lqm	238	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	238	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	239	1	Allan	Allan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	239	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	239	3	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	239	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	239	5	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	239	6	Kinsner	Kinsner	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	239	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	239	8	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	239	9	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	239	10	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	239	11	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	239	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	240	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	240	2	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	240	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	240	4	microscopic	microscopic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	240	5	images	image	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	240	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	240	7	human	human	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	240	8	breast	breast	NN
work_yhmhpetxjjertmjquf7qfk2lqm	240	9	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	240	10	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	240	11	competitive	competitive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	240	12	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	240	13	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	240	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	241	1	Canadian	Canadian	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	241	2	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	241	3	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	241	4	Electrical	Electrical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	241	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	241	6	Computer	Computer	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	241	7	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	241	8	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	241	9	Vol	Vol	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	241	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	242	1	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	242	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	242	3	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	242	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	243	1	289	289	CD
work_yhmhpetxjjertmjquf7qfk2lqm	243	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	243	3	293	293	CD
work_yhmhpetxjjertmjquf7qfk2lqm	243	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	243	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	244	1	Asres	asre	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	244	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	3	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	244	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	5	Dou	Dou	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	7	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	9	Zhou	Zhou	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	11	Z.	Z.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	13	Zhang	Zhang	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	15	Y.	Y.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	16	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	17	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	244	18	Zhu	Zhu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	244	20	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	244	21	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	244	22	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	244	23	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	244	24	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	245	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	245	2	combination	combination	NN
work_yhmhpetxjjertmjquf7qfk2lqm	245	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	245	4	AR	AR	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	245	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	245	6	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	245	7	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	245	8	technique	technique	NN
work_yhmhpetxjjertmjquf7qfk2lqm	245	9	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	245	10	EMG	EMG	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	245	11	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	245	12	identification	identification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	245	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	246	1	Engineering	engineering	NN
work_yhmhpetxjjertmjquf7qfk2lqm	246	2	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	246	3	Medicine	Medicine	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	4	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	246	5	Biology	Biology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	6	Society	Society	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	246	8	Bridging	bridge	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	246	9	Disciplines	Disciplines	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	246	10	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	246	11	Biomedicine	Biomedicine	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	246	13	Proceedings	Proceedings	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	246	14	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	246	15	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	246	16	18th	18th	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	246	17	Annual	Annual	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	18	International	International	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	19	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	20	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	246	21	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	246	22	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	23	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	246	24	Vol	Vol	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	246	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	247	1	4	4	LS
work_yhmhpetxjjertmjquf7qfk2lqm	247	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	247	3	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	247	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	248	1	1464	1464	CD
work_yhmhpetxjjertmjquf7qfk2lqm	248	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	248	3	1465	1465	CD
work_yhmhpetxjjertmjquf7qfk2lqm	248	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	248	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	249	1	Bakhtazad	Bakhtazad	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	249	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	249	3	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	249	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	249	5	Palazoglu	Palazoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	249	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	249	7	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	249	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	249	9	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	249	10	Romagnoli	Romagnoli	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	249	11	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	249	12	J.	J.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	250	1	A.	A.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	251	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	251	2	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	251	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	251	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	252	1	Process	process	NN
work_yhmhpetxjjertmjquf7qfk2lqm	252	2	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	252	3	de	de	NN
work_yhmhpetxjjertmjquf7qfk2lqm	252	4	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	252	5	noising	noising	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	252	6	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	252	7	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	252	8	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	252	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	253	1	Intelligent	Intelligent	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	253	2	Data	Data	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	253	3	Analysis	Analysis	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	253	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	253	5	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	253	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	253	7	267	267	CD
work_yhmhpetxjjertmjquf7qfk2lqm	253	8	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	253	9	285	285	CD
work_yhmhpetxjjertmjquf7qfk2lqm	253	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	254	1	Bishop	Bishop	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	254	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	254	3	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	254	4	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	254	5	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	254	6	1996	1996	CD
work_yhmhpetxjjertmjquf7qfk2lqm	254	7	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	254	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	255	1	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	255	2	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	255	3	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	255	4	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	255	5	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	255	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	256	1	Oxford	Oxford	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	256	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	256	3	Clarendon	Clarendon	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	256	4	Press	Press	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	256	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	257	1	Brameier	Brameier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	257	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	257	3	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	257	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	257	5	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	257	6	Banzhaf	Banzhaf	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	257	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	257	8	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	257	9	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	257	10	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	257	11	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	257	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	258	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	258	2	comparison	comparison	NN
work_yhmhpetxjjertmjquf7qfk2lqm	258	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	258	4	linear	linear	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	258	5	genetic	genetic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	258	6	programming	programming	NN
work_yhmhpetxjjertmjquf7qfk2lqm	258	7	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	258	8	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	258	9	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	258	10	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	258	11	medical	medical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	258	12	data	datum	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	258	13	mining	mining	NN
work_yhmhpetxjjertmjquf7qfk2lqm	258	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	259	1	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	259	2	Transactions	transaction	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	259	3	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	259	4	Evolutionary	Evolutionary	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	259	5	Computation	Computation	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	259	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	259	7	5	5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	259	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	259	9	17	17	CD
work_yhmhpetxjjertmjquf7qfk2lqm	259	10	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	259	11	26	26	CD
work_yhmhpetxjjertmjquf7qfk2lqm	259	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	260	1	Burrus	Burrus	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	260	3	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	4	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	260	6	Gopinath	Gopinath	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	260	8	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	9	A.	A.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	260	11	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	260	12	Guo	Guo	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	260	14	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	260	15	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	260	16	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	260	17	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	260	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	261	1	Introduction	introduction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	261	2	to	to	TO
work_yhmhpetxjjertmjquf7qfk2lqm	261	3	wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	261	4	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	261	5	wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	261	6	transforms	transform	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	261	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	262	1	NJ	NJ	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	262	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	262	3	USA	USA	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	262	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	262	5	Prentice	Prentice	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	262	6	Hall	Hall	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	262	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	263	1	Chan	Chan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	3	B.	B.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	4	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	5	B.	B.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	7	Chan	Chan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	9	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	10	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	11	Y.	Y.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	13	Lam	Lam	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	15	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	16	K.	K.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	18	Lui	Lui	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	20	P.	P.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	21	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	23	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	263	24	Poon	Poon	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	25	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	263	26	P.	P.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	27	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	28	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	263	29	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	263	30	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	263	31	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	263	32	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	264	1	Fast	fast	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	264	2	detection	detection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	264	4	venous	venous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	264	5	air	air	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	6	embolism	embolism	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	7	is	be	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	264	8	Doppler	doppl	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	264	9	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	10	sound	sound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	11	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	264	12	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	264	13	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	14	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	264	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	265	1	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	265	2	Transactions	transaction	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	265	3	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	265	4	Biomedical	Biomedical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	265	5	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	265	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	265	7	44(4	44(4	CD
work_yhmhpetxjjertmjquf7qfk2lqm	265	8	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	265	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	265	10	237	237	CD
work_yhmhpetxjjertmjquf7qfk2lqm	265	11	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	265	12	245	245	CD
work_yhmhpetxjjertmjquf7qfk2lqm	265	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	266	1	Coifman	Coifman	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	266	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	266	3	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	266	4	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	266	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	266	6	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	266	7	Wickerhauser	Wickerhauser	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	266	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	266	9	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	266	10	V.	V.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	266	11	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	266	12	1992	1992	CD
work_yhmhpetxjjertmjquf7qfk2lqm	266	13	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	266	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	267	1	Entropy	Entropy	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	267	2	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	267	3	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	267	4	algorithms	algorithm	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	267	5	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	267	6	best	good	JJS
work_yhmhpetxjjertmjquf7qfk2lqm	267	7	basis	basis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	267	8	selection	selection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	267	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	268	1	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	268	2	Transactions	transaction	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	268	3	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	268	4	Information	Information	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	268	5	Theory	Theory	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	268	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	268	7	38(2	38(2	CD
work_yhmhpetxjjertmjquf7qfk2lqm	268	8	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	268	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	268	10	713	713	CD
work_yhmhpetxjjertmjquf7qfk2lqm	268	11	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	268	12	718	718	CD
work_yhmhpetxjjertmjquf7qfk2lqm	268	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	269	1	Devasahayam	Devasahayam	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	269	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	269	3	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	269	4	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	269	5	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	269	6	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	269	7	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	269	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	270	1	Signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	270	2	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	270	3	systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	270	4	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	270	5	biomedical	biomedical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	270	6	engineer-	engineer-	NN
work_yhmhpetxjjertmjquf7qfk2lqm	270	7	ing	ing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	270	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	271	1	Dordrecht	dordrecht	NN
work_yhmhpetxjjertmjquf7qfk2lqm	271	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	271	3	Kluwer	Kluwer	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	271	4	Academic	Academic	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	271	5	Publishers	Publishers	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	271	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	272	1	Dickhous	dickhous	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	272	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	272	3	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	272	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	272	5	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	272	6	Heinrich	Heinrich	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	272	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	272	8	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	272	9	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	272	10	1996	1996	CD
work_yhmhpetxjjertmjquf7qfk2lqm	272	11	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	272	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	273	1	Classifying	classify	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	273	2	biosignals	biosignal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	273	3	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	273	4	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	273	5	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	273	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	274	1	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	274	2	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	274	3	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	274	4	Medicine	Medicine	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	274	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	274	6	Biology	Biology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	274	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	274	8	103	103	CD
work_yhmhpetxjjertmjquf7qfk2lqm	274	9	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	274	10	111	111	CD
work_yhmhpetxjjertmjquf7qfk2lqm	274	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	275	1	Guler	Guler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	275	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	275	3	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	275	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	275	5	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	275	6	Kara	Kara	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	275	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	275	8	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	275	9	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	275	10	1995	1995	CD
work_yhmhpetxjjertmjquf7qfk2lqm	275	11	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	275	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	276	1	Detection	detection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	276	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	276	3	mitral	mitral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	276	4	stenosis	stenosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	276	5	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	276	6	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	276	7	pulsed	pulse	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	276	8	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	276	9	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	276	10	meter	meter	NN
work_yhmhpetxjjertmjquf7qfk2lqm	276	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	276	12	autoregressive	autoregressive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	276	13	spectral	spectral	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	276	14	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	276	15	method	method	NN
work_yhmhpetxjjertmjquf7qfk2lqm	276	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	277	1	Proceedings	proceeding	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	277	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	277	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	277	4	14th	14th	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	277	5	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	277	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	277	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	277	8	Biomedical	Biomedical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	277	9	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	277	10	Society	Society	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	277	11	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	277	12	India	India	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	277	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	278	1	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	278	2	International	International	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	3	Meeting	Meeting	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	278	5	Proceedings	Proceedings	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	278	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	278	8	First	First	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	9	Regional	Regional	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	10	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	11	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	278	12	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	13	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	278	14	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	278	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	279	1	2/91	2/91	CD
work_yhmhpetxjjertmjquf7qfk2lqm	279	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	279	3	2/92	2/92	CD
work_yhmhpetxjjertmjquf7qfk2lqm	279	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	279	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	280	1	Haykin	Haykin	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	280	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	280	3	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	280	4	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	280	5	1994	1994	CD
work_yhmhpetxjjertmjquf7qfk2lqm	280	6	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	280	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	281	1	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	281	2	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	281	3	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	281	4	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	281	5	comprehensive	comprehensive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	281	6	foundation	foundation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	281	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	282	1	New	New	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	2	York	York	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	3	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	282	4	Macmillan	Macmillan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	5	College	College	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	6	Publishing	Publishing	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	7	Company	Company	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	8	Inc.	Inc.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	9	Izzetoglu	Izzetoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	282	11	K.	K.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	282	13	Erkmen	Erkmen	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	282	15	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	282	16	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	282	18	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	282	19	Beksac	Beksac	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	20	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	282	21	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	282	22	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	282	23	1995	1995	CD
work_yhmhpetxjjertmjquf7qfk2lqm	282	24	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	282	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	283	1	Intelligent	intelligent	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	283	2	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	283	4	fetal	fetal	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	283	5	Doppler	doppler	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	6	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	7	velocity	velocity	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	8	waveform	waveform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	9	abnormalities	abnormality	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	283	10	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	283	11	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	12	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	283	14	vector	vector	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	15	quantization	quantization	NN
work_yhmhpetxjjertmjquf7qfk2lqm	283	16	algorithm	algorithm	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	283	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	284	1	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	2	International	International	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	3	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	4	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	284	5	Systems	Systems	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	284	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	284	7	Man	Man	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	8	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	284	9	Cybernetics	Cybernetics	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	284	11	Intelligent	Intelligent	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	12	Systems	Systems	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	284	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	284	14	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	284	15	21st	21st	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	284	16	Century	Century	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	17	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	284	18	Vol	Vol	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	284	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	285	1	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	285	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	285	3	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	285	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	286	1	724	724	CD
work_yhmhpetxjjertmjquf7qfk2lqm	286	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	286	3	729	729	CD
work_yhmhpetxjjertmjquf7qfk2lqm	286	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	286	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	287	1	Jing	Jing	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	3	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	5	Xuemin	Xuemin	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	7	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	9	Mingshi	Mingshi	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	11	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	13	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	287	14	Wie	Wie	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	287	16	L.	L.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	287	17	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	287	18	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	287	19	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	287	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	288	1	Noninvasive	noninvasive	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	288	2	acoustical	acoustical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	288	3	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	288	4	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	288	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	288	6	coronary	coronary	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	288	7	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	288	8	disease	disease	NN
work_yhmhpetxjjertmjquf7qfk2lqm	288	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	289	1	Biomedical	Biomedical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	289	2	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	289	3	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	289	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	289	5	Proceedings	Proceedings	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	289	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	289	7	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	289	8	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	289	9	Sixteenth	Sixteenth	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	289	10	Southern	Southern	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	289	11	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	289	12	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	289	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	290	1	239	239	CD
work_yhmhpetxjjertmjquf7qfk2lqm	290	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	290	3	241	241	CD
work_yhmhpetxjjertmjquf7qfk2lqm	290	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	290	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	291	1	Karabetsos	Karabetsos	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	291	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	291	3	E.	E.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	291	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	291	5	Papaodysseus	Papaodysseus	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	291	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	291	7	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	291	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	291	9	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	291	10	Koutsouris	Koutsouris	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	291	11	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	291	12	D.	D.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	291	13	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	291	14	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	291	15	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	291	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	292	1	Design	design	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	2	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	292	3	development	development	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	292	5	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	292	6	new	new	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	292	7	ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	292	8	doppler	doppler	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	9	technique	technique	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	10	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	292	11	estimation	estimation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	12	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	292	13	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	292	14	aggregation	aggregation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	15	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	292	16	red	red	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	292	17	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	292	18	cells	cell	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	292	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	293	1	Measurement	Measurement	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	293	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	293	3	24	24	CD
work_yhmhpetxjjertmjquf7qfk2lqm	293	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	293	5	207	207	CD
work_yhmhpetxjjertmjquf7qfk2lqm	293	6	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	293	7	215	215	CD
work_yhmhpetxjjertmjquf7qfk2lqm	293	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	294	1	Keeton	Keeton	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	294	3	P.	P.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	4	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	5	J.	J.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	294	7	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	294	8	Schlindwein	Schlindwein	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	294	10	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	11	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	294	12	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	294	13	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	294	14	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	294	15	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	295	1	Application	application	NN
work_yhmhpetxjjertmjquf7qfk2lqm	295	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	295	3	wavelets	wavelet	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	295	4	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	295	5	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	295	6	ultrasound	ultrasound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	295	7	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	296	1	Measurement	Measurement	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	296	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	296	3	17(1	17(1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	296	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	296	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	296	6	38	38	CD
work_yhmhpetxjjertmjquf7qfk2lqm	296	7	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	296	8	45	45	CD
work_yhmhpetxjjertmjquf7qfk2lqm	296	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	297	1	Liang	Liang	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	297	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	297	3	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	297	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	297	5	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	297	6	Nartimo	Nartimo	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	297	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	297	8	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	298	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	298	2	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	298	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	298	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	299	1	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	299	2	feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	3	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	4	algorithm	algorithm	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	5	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	299	6	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	299	7	wavelet	wavelet	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	299	8	packet	packet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	9	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	10	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	299	11	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	12	sound	sound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	299	13	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	299	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	300	1	Proceedings	proceeding	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	300	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	300	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	300	4	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	300	5	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	300	6	SP	SP	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	300	7	International	International	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	300	8	Symposium	Symposium	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	300	9	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	300	10	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	300	11	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	301	1	93	93	CD
work_yhmhpetxjjertmjquf7qfk2lqm	301	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	301	3	96	96	CD
work_yhmhpetxjjertmjquf7qfk2lqm	301	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	301	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	302	1	Madeira	Madeira	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	302	3	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	4	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	302	6	Tokhi	Tokhi	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	302	8	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	9	O.	O.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	302	11	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	302	12	Ruano	Ruano	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	302	14	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	15	G.	G.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	302	16	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	302	17	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	302	18	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	302	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	303	1	Real	real	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	303	2	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	303	3	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	4	implementation	implementation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	5	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	303	6	a	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	303	7	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	303	8	signal	signal	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	9	spectral	spectral	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	10	estimator	estimator	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	11	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	303	12	sequential	sequential	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	13	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	303	14	parallel	parallel	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	303	15	processing	processing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	303	16	techniques	technique	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	303	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	304	1	Microprocessors	microprocessor	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	304	2	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	304	3	Microsystems	Microsystems	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	304	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	304	5	24	24	CD
work_yhmhpetxjjertmjquf7qfk2lqm	304	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	304	7	153	153	CD
work_yhmhpetxjjertmjquf7qfk2lqm	304	8	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	304	9	167	167	CD
work_yhmhpetxjjertmjquf7qfk2lqm	304	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	305	1	Miller	Miller	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	305	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	305	3	S.	S.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	305	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	305	5	Bews	Bews	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	305	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	305	7	J.	J.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	305	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	305	9	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	305	10	Kinsner	Kinsner	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	305	11	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	305	12	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	305	13	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	305	14	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	305	15	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	305	16	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	306	1	Brachytherapy	brachytherapy	NN
work_yhmhpetxjjertmjquf7qfk2lqm	306	2	cancer	cancer	NN
work_yhmhpetxjjertmjquf7qfk2lqm	306	3	treatment	treatment	NN
work_yhmhpetxjjertmjquf7qfk2lqm	306	4	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	306	5	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	306	6	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	306	7	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	306	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	307	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	307	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	307	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	307	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	307	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	307	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	307	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	307	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	307	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	307	10	229–236	229–236	CD
work_yhmhpetxjjertmjquf7qfk2lqm	307	11	235	235	CD
work_yhmhpetxjjertmjquf7qfk2lqm	307	12	optimization	optimization	NN
work_yhmhpetxjjertmjquf7qfk2lqm	307	13	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	307	14	simulated	simulate	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	307	15	annealing	annealing	NN
work_yhmhpetxjjertmjquf7qfk2lqm	307	16	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	307	17	artificial	artificial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	307	18	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	307	19	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	307	20	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	308	1	Canadian	Canadian	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	308	2	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	308	3	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	308	4	Electrical	Electrical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	308	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	308	6	Computer	Computer	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	308	7	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	308	8	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	308	9	Vol	Vol	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	308	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	309	1	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	309	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	309	3	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	309	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	310	1	649	649	CD
work_yhmhpetxjjertmjquf7qfk2lqm	310	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	310	3	654	654	CD
work_yhmhpetxjjertmjquf7qfk2lqm	310	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	310	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	311	1	Nanda	Nanda	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	311	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	311	3	N.	N.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	311	4	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	311	5	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	311	6	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	311	7	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	311	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	312	1	Doppler	doppler	VB
work_yhmhpetxjjertmjquf7qfk2lqm	312	2	echocardiography	echocardiography	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	312	3	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	312	4	2nd	2nd	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	312	5	ed	ed	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	312	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	312	7	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	312	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	313	1	London	London	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	313	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	313	3	Lea	Lea	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	313	4	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	313	5	Febiger	Febiger	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	313	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	314	1	Nichols	Nichols	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	314	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	314	3	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	314	4	W.	W.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	314	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	314	6	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	314	7	O’Rourke	O’Rourke	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	314	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	314	9	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	314	10	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	314	11	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	314	12	1990	1990	CD
work_yhmhpetxjjertmjquf7qfk2lqm	314	13	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	314	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	315	1	McDonald	McDonald	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	315	2	’s	’s	POS
work_yhmhpetxjjertmjquf7qfk2lqm	315	3	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	315	4	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	315	5	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	315	6	arteries	artery	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	315	7	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	315	8	Theoretical	theoretical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	315	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	315	10	experimental	experimental	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	315	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	315	12	clinical	clinical	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	315	13	principles	principle	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	315	14	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	315	15	3rd	3rd	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	315	16	ed	ed	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	315	17	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	316	1	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	316	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	316	3	London	London	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	316	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	317	1	Philpot	Philpot	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	317	3	E.	E.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	4	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	317	6	Yoganathan	Yoganathan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	317	8	A.	A.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	9	P.	P.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	317	11	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	317	12	Nanda	Nanda	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	317	14	N.	N.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	15	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	317	16	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	317	17	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	317	18	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	317	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	318	1	Future	future	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	318	2	directions	direction	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	318	3	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	318	4	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	318	5	echocardiography	echocardiography	NN
work_yhmhpetxjjertmjquf7qfk2lqm	318	6	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	319	1	Doppler	doppler	VB
work_yhmhpetxjjertmjquf7qfk2lqm	319	2	echocardiography	echocardiography	NN
work_yhmhpetxjjertmjquf7qfk2lqm	319	3	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	320	1	Philadelphia	Philadelphia	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	320	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	320	3	London	London	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	320	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	320	5	Lea	Lea	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	320	6	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	320	7	Febiger	Febiger	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	320	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	321	1	Plett	Plett	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	321	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	321	3	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	321	4	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	322	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	322	2	2000	2000	CD
work_yhmhpetxjjertmjquf7qfk2lqm	322	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	322	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	323	1	Ultrasonic	ultrasonic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	323	2	arterial	arterial	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	323	3	vibrometry	vibrometry	NN
work_yhmhpetxjjertmjquf7qfk2lqm	323	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	323	5	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	323	6	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	323	7	detection	detection	NN
work_yhmhpetxjjertmjquf7qfk2lqm	323	8	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	323	9	estimation	estimation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	323	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	324	1	PhD	PhD	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	324	2	Thesis	Thesis	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	324	3	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	324	4	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	324	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	325	1	17	17	CD
work_yhmhpetxjjertmjquf7qfk2lqm	325	2	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	325	3	18	18	CD
work_yhmhpetxjjertmjquf7qfk2lqm	325	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	325	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	325	6	University	University	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	325	7	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	325	8	Washington	Washington	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	325	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	326	1	Quiroga	Quiroga	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	326	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	326	3	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	326	4	Q.	Q.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	327	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	327	2	1998	1998	CD
work_yhmhpetxjjertmjquf7qfk2lqm	327	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	327	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	328	1	Quantitative	quantitative	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	328	2	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	328	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	328	4	EEG	EEG	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	328	5	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	328	6	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	328	7	Time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	328	8	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	328	9	frequency	frequency	NN
work_yhmhpetxjjertmjquf7qfk2lqm	328	10	methods	method	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	328	11	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	328	12	Chaos	Chaos	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	328	13	theory	theory	NN
work_yhmhpetxjjertmjquf7qfk2lqm	328	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	329	1	Lübeck	Lübeck	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	329	2	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	329	3	Intitute	Intitute	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	329	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	329	5	Physiology	Physiology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	329	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	329	7	Medical	Medical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	329	8	University	University	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	329	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	330	1	Quiroga	Quiroga	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	330	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	330	3	R.	R.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	330	4	Q.	Q.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	330	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	330	6	Roso	Roso	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	330	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	330	8	O.	O.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	331	1	A.	A.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	331	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	331	3	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	331	4	Basar	Basar	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	331	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	331	6	E.	E.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	331	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	331	8	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	331	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	331	10	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	332	1	Wavelet	wavelet	VB
work_yhmhpetxjjertmjquf7qfk2lqm	332	2	entropy	entropy	RB
work_yhmhpetxjjertmjquf7qfk2lqm	332	3	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	332	4	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	332	5	measure	measure	NN
work_yhmhpetxjjertmjquf7qfk2lqm	332	6	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	332	7	order	order	NN
work_yhmhpetxjjertmjquf7qfk2lqm	332	8	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	332	9	evoked	evoke	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	332	10	potentials	potential	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	332	11	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	332	12	Vol	Vol	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	332	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	333	1	49	49	CD
work_yhmhpetxjjertmjquf7qfk2lqm	333	2	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	333	3	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	334	1	Evoked	evoke	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	334	2	potentials	potential	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	334	3	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	334	4	magnetic	magnetic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	334	5	fields	field	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	334	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	334	7	Amsterdam	Amsterdam	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	334	8	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	334	9	Elsevier	Elsevier	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	334	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	334	11	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	334	12	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	335	1	298	298	CD
work_yhmhpetxjjertmjquf7qfk2lqm	335	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	335	3	302	302	CD
work_yhmhpetxjjertmjquf7qfk2lqm	335	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	336	1	Saini	Saini	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	336	3	V.	V.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	4	D.	D.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	336	6	Nanda	Nanda	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	336	8	N.	N.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	9	C.	C.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	336	11	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	336	12	Maulik	Maulik	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	336	14	D.	D.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	336	15	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	336	16	1993	1993	CD
work_yhmhpetxjjertmjquf7qfk2lqm	336	17	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	336	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	337	1	Basic	basic	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	337	2	principles	principle	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	337	3	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	337	4	ultrasound	ultrasound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	337	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	337	6	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	337	7	effect	effect	NN
work_yhmhpetxjjertmjquf7qfk2lqm	337	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	338	1	Doppler	doppler	VB
work_yhmhpetxjjertmjquf7qfk2lqm	338	2	echocardiography	echocardiography	NN
work_yhmhpetxjjertmjquf7qfk2lqm	338	3	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	339	1	Philadelphia	Philadelphia	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	339	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	339	3	London	London	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	339	4	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	339	5	Lea	Lea	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	339	6	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	339	7	Febiger	Febiger	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	339	8	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	340	1	Saraoglu	Saraoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	340	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	340	3	H.	H.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	340	4	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	340	5	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	340	6	Yumusak	Yumusak	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	340	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	340	8	N.	N.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	340	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	340	10	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	340	11	Ferikoglu	Ferikoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	340	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	340	13	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	341	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	341	2	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	341	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	341	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	342	1	Training	training	NN
work_yhmhpetxjjertmjquf7qfk2lqm	342	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	342	3	brain	brain	NN
work_yhmhpetxjjertmjquf7qfk2lqm	342	4	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	342	5	by	by	IN
work_yhmhpetxjjertmjquf7qfk2lqm	342	6	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	342	7	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	342	8	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	342	9	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	343	1	International	international	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	343	2	symposium	symposium	NN
work_yhmhpetxjjertmjquf7qfk2lqm	343	3	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	343	4	Mathematical	Mathematical	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	343	5	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	343	6	Computational	Computational	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	343	7	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	343	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	343	9	September	September	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	343	10	1	1	CD
work_yhmhpetxjjertmjquf7qfk2lqm	343	11	–	–	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	343	12	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	343	13	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	343	14	1999	1999	CD
work_yhmhpetxjjertmjquf7qfk2lqm	343	15	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	343	16	249	249	CD
work_yhmhpetxjjertmjquf7qfk2lqm	343	17	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	343	18	254	254	CD
work_yhmhpetxjjertmjquf7qfk2lqm	343	19	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	344	1	Bakü	Bakü	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	344	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	344	3	Azerbaijan	Azerbaijan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	344	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	345	1	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	345	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	345	3	I.	i.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	345	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	345	5	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	345	6	Arslan	Arslan	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	345	7	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	345	8	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	346	1	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	346	2	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	346	3	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	346	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	347	1	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	347	2	intelligent	intelligent	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	347	3	pattern	pattern	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	4	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	5	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	6	based	base	VBN
work_yhmhpetxjjertmjquf7qfk2lqm	347	7	on	on	IN
work_yhmhpetxjjertmjquf7qfk2lqm	347	8	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	347	9	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	10	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	347	11	wavelet	wavelet	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	12	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	13	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	347	14	interpretation	interpretation	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	15	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	347	16	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	347	17	sounds	sound	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	347	18	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	348	1	Proceedings	proceeding	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	348	2	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	348	3	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	348	4	23rd	23rd	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	348	5	Annual	Annual	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	6	International	International	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	7	Conference	Conference	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	8	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	348	9	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	348	10	IEEE	IEEE	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	11	Engineering	Engineering	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	12	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	348	13	Medicine	Medicine	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	14	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	348	15	Biology	Biology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	16	Society	Society	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	17	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	348	18	October	October	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	19	25	25	CD
work_yhmhpetxjjertmjquf7qfk2lqm	348	20	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	348	21	28	28	CD
work_yhmhpetxjjertmjquf7qfk2lqm	348	22	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	348	23	2001	2001	CD
work_yhmhpetxjjertmjquf7qfk2lqm	348	24	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	348	25	pp	pp	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	348	26	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	349	1	4.2.7	4.2.7	CD
work_yhmhpetxjjertmjquf7qfk2lqm	349	2	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	349	3	3	3	CD
work_yhmhpetxjjertmjquf7qfk2lqm	349	4	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	349	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	350	1	Istanbul	Istanbul	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	350	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	350	3	Turkey	Turkey	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	350	4	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	351	1	Wright	Wright	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	351	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	351	3	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	1	A.	A.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	2	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	3	Gough	Gough	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	4	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	5	N.	N.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	6	A.	a.	NN
work_yhmhpetxjjertmjquf7qfk2lqm	352	7	J.	J.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	8	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	9	Rakebrandt	Rakebrandt	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	10	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	11	F.	F.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	12	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	13	Wahab	Wahab	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	14	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	15	M.	M.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	16	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	17	&	&	CC
work_yhmhpetxjjertmjquf7qfk2lqm	352	18	Woodcock	Woodcock	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	19	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	352	20	J.	J.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	21	P.	P.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	352	22	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	352	23	1997	1997	CD
work_yhmhpetxjjertmjquf7qfk2lqm	352	24	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	352	25	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	353	1	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	353	2	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	3	analysis	analysis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	4	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	353	5	Doppler	Doppler	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	353	6	ultrasound	ultrasound	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	7	blood	blood	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	8	flow	flow	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	9	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	353	10	:	:	:
work_yhmhpetxjjertmjquf7qfk2lqm	353	11	A	a	DT
work_yhmhpetxjjertmjquf7qfk2lqm	353	12	pilot	pilot	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	13	study	study	NN
work_yhmhpetxjjertmjquf7qfk2lqm	353	14	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	354	1	Ultrasound	Ultrasound	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	354	2	in	in	IN
work_yhmhpetxjjertmjquf7qfk2lqm	354	3	Medicine	Medicine	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	354	4	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	354	5	Biology	Biology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	354	6	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	354	7	23(5	23(5	CD
work_yhmhpetxjjertmjquf7qfk2lqm	354	8	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	354	9	,	,	,
work_yhmhpetxjjertmjquf7qfk2lqm	354	10	683	683	CD
work_yhmhpetxjjertmjquf7qfk2lqm	354	11	–	–	:
work_yhmhpetxjjertmjquf7qfk2lqm	354	12	690	690	CD
work_yhmhpetxjjertmjquf7qfk2lqm	354	13	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	355	1	I.	I.	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	355	2	Turkoglu	Turkoglu	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	355	3	et	et	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	355	4	al	al	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	355	5	.	.	.
work_yhmhpetxjjertmjquf7qfk2lqm	356	1	/	/	SYM
work_yhmhpetxjjertmjquf7qfk2lqm	356	2	Expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	3	Systems	system	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	356	4	with	with	IN
work_yhmhpetxjjertmjquf7qfk2lqm	356	5	Applications	Applications	NNPS
work_yhmhpetxjjertmjquf7qfk2lqm	356	6	23	23	CD
work_yhmhpetxjjertmjquf7qfk2lqm	356	7	(	(	-LRB-
work_yhmhpetxjjertmjquf7qfk2lqm	356	8	2002	2002	CD
work_yhmhpetxjjertmjquf7qfk2lqm	356	9	)	)	-RRB-
work_yhmhpetxjjertmjquf7qfk2lqm	356	10	229–236236	229–236236	CD
work_yhmhpetxjjertmjquf7qfk2lqm	356	11	An	an	DT
work_yhmhpetxjjertmjquf7qfk2lqm	356	12	expert	expert	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	13	system	system	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	14	for	for	IN
work_yhmhpetxjjertmjquf7qfk2lqm	356	15	diagnosis	diagnosis	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	16	of	of	IN
work_yhmhpetxjjertmjquf7qfk2lqm	356	17	the	the	DT
work_yhmhpetxjjertmjquf7qfk2lqm	356	18	heart	heart	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	19	valve	valve	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	20	diseases	disease	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	356	21	Introduction	introduction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	22	Preliminaries	preliminary	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	356	23	Pattern	Pattern	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	356	24	recognition	recognition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	25	DHS	DHS	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	356	26	signals	signal	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	356	27	Wavelet	Wavelet	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	356	28	decomposition	decomposition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	29	Short	short	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	356	30	-	-	HYPH
work_yhmhpetxjjertmjquf7qfk2lqm	356	31	time	time	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	32	Fourier	fouri	JJR
work_yhmhpetxjjertmjquf7qfk2lqm	356	33	transform	transform	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	34	Wavelet	Wavelet	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	356	35	entropy	entropy	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	356	36	Neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	356	37	networks	network	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	356	38	Methodology	Methodology	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	356	39	Data	Data	NNP
work_yhmhpetxjjertmjquf7qfk2lqm	356	40	acquisition	acquisition	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	41	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	356	42	pre	pre	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	43	-	-	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	356	44	processing	process	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	356	45	Feature	feature	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	46	extraction	extraction	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	47	Classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	48	using	use	VBG
work_yhmhpetxjjertmjquf7qfk2lqm	356	49	neural	neural	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	356	50	network	network	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	51	Experimental	experimental	JJ
work_yhmhpetxjjertmjquf7qfk2lqm	356	52	classification	classification	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	53	results	result	VBZ
work_yhmhpetxjjertmjquf7qfk2lqm	356	54	Discussion	discussion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	55	and	and	CC
work_yhmhpetxjjertmjquf7qfk2lqm	356	56	conclusion	conclusion	NN
work_yhmhpetxjjertmjquf7qfk2lqm	356	57	Acknowledgments	acknowledgment	NNS
work_yhmhpetxjjertmjquf7qfk2lqm	356	58	References	References	NNPS