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

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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). In this paper, 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 s...

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Bibliographic Details
Main Authors:	Huan,, NJ, Palaniappan,, R
Format:	Article
Published:	2005
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://shdl.mmu.edu.my/2402/

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