id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3akpcw3alvfzpbwlc3yzkadwpa	Vladislava Bobić	An Expert System for Quantification of Bradykinesia Based on Wearable Inertial Sensors	2019	17	.pdf	application/pdf	12912	1075	61	automatic scoring of bradykinesia in repetitive finger-tapping movements for patients with idiopathic a detailed analysis of finger-tapping performance and decision support for symptom evaluation. Keywords: decision support system; wearable inertial sensors; finger-tapping; automatic scoring; applied for prediction of clinical scores using inertial data recorded during foot tapping [23] and hand applied for prediction of clinical scores using inertial data recorded during foot tapping [23] and hand instructions provided in the UPDRS test state that patients should tap their fingers 10 times [3], in this The scores given for the patients were provided separately for the lessand more-affected hand (averaged for all patients per group), whereas, in the case of healthy controls, for calculation of UPDRS finger-tapping scores is presented in Figure 2. for calculation of UPDRS finger-tapping scores is presented in Figure 2. and four blocks that calculate features to describe criteria defined in the UPDRS test: tapping amplitude,	./cache/work_3akpcw3alvfzpbwlc3yzkadwpa.pdf	./txt/work_3akpcw3alvfzpbwlc3yzkadwpa.txt