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

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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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Bibliographic Details
Main Author:	Huan , Nai Jen
Format:	Thesis
Published:	2004
Subjects:	QA76.75-76.765 Computer software
Online Access:	http://shdl.mmu.edu.my/747/

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