id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_bj6uvbwk4bch5oknfyzgtne4py	Shiu Kumar	OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals	2021	20	.pdf	application/pdf	9185	1150	58	method (OPTICAL+) achieved an overall average classification error rate of Common spatial pattern (CSP), Motor imagery (MI), Informative frequency band (IFB) filtered data is fed as the sequence input to the LSTM network for training the model. the filter parameters that would result in the optimal performance of the proposed system. Figure 5 Error rates of the individual subjects for the proposed OPTICAL+ predictor. Figure 8 The error rates of OPTICAL predictor with optimization of the filter parameters and intend to test how the proposed method would perform on other EEG signal classification The proposed method has been able to successfully optimize the filter band parameters EEG signal classification method based on feature priority analysis and CNN. A neural network-based optimal spatial filter design method for motor OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals	./cache/work_bj6uvbwk4bch5oknfyzgtne4py.pdf	./txt/work_bj6uvbwk4bch5oknfyzgtne4py.txt