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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Bibliographic Details

Published in:	Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005 Vol. 4; pp. 2502 - 2507 vol. 4
Main Authors:	Gope, C., Kehtarnavaz, N., Nair, D.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2005
Subjects:	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
Online Access:	Get full text
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