Neural network classification of EEG signals using time-frequency representation

This paper addresses the problem of classification of electroencephalogram (EEG) signals obtained from human subjects performing two mental tasks. One task named baseline involves relaxing and thinking of nothing in particular and the other task named multiplication involves mentally multiplying two...

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Vydané v:	Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005 Ročník 4; s. 2502 - 2507 vol. 4
Hlavní autori:	Gope, C., Kehtarnavaz, N., Nair, D.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 2005
Predmet:	Backpropagation algorithms Condition monitoring Electroencephalography Feature extraction Humans Independent component analysis Neural networks Programming environments Signal generators Time frequency analysis
ISBN:	0780390482, 9780780390485
ISSN:	2161-4393
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