Brain Computer Interface Design Using Neural Network Classification Of Autoregressive Models Of Mental Task Electroencephalogram Signals.

Brain Computer Interface Design Using Neural Network Classification Of Autoregressive Models Of Mental Task Electroencephalogram Signals.

Autoregressive(AR) feature extraction and neural network(NN) classification techniques are conducted using Electroencephalogram(EEG) signals extracted during mental tasks for Brain Computer Interface (BCI) design. The output of the BCI design could be used with a translation scheme such as Morse Cod...

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主要作者:	Huan , Nai Jen
格式:	Thesis
出版:	2004
主题:	QA76.75-76.765 Computer software
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