Optimizing feature vectors and removal unnecessary channels in BCI speller application

In this paper we will discuss novel algorithms to develop the brain-computer interface (BCI) system in speller application based on single-trial classification of electroencephalogram (EEG) signal. The idea is to employ proper methods for reducing the number of channels and optimizing feature vector...

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Veröffentlicht in:	Journal of biomedical science and engineering 2013-10, Vol.6 (10), p.973-981
Hauptverfasser:	Perseh, Bahram, Kiamini, Majid
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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