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IEEE Trans Biomed Eng. 2009 Aug;56(8):2035-43. doi: 10.1109/TBME.2009.2012869. Epub 2009 Jan 23.

xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.

Author information

1
GIPSA Laboratory, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche (UMR), Grenoble, France. bertrand.rivet@gipsa-lab.inpg.fr

Abstract

A brain-computer interface (BCI) is a communication system that allows to control a computer or any other device thanks to the brain activity. The BCI described in this paper is based on the P300 speller BCI paradigm introduced by Farwell and Donchin . An unsupervised algorithm is proposed to enhance P300 evoked potentials by estimating spatial filters; the raw EEG signals are then projected into the estimated signal subspace. Data recorded on three subjects were used to evaluate the proposed method. The results, which are presented using a Bayesian linear discriminant analysis classifier , show that the proposed method is efficient and accurate.

PMID:
19174332
DOI:
10.1109/TBME.2009.2012869
[Indexed for MEDLINE]
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