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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Veröffentlicht in:	Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Jg. 1; S. 507 - 510
Hauptverfasser:	Huan Nai-Jen, Palaniappan, R.
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 2004
Schlagworte:	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
Online-Zugang:	Volltext
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