Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals

Classification of EEG signals extracted during mental tasks is a technique for designing brain computer interfaces (BCI). We classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 subjects were us...

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Vydané v:	Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Ročník 1; s. 507 - 510
Hlavní autori:	Huan Nai-Jen, Palaniappan, R.
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 2004
Predmet:	Backpropagation algorithms Brain computer interfaces Brain modeling Data mining Electroencephalography Feature extraction Least squares approximation Multi-layer neural network Neural networks Signal design
ISBN:	9780780384392, 0780384393
ISSN:	1557-170X
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