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

Rivet, Bertrand; Souloumiac, Antoine; Attina, Virginie; Gibert, Guillaume · IEEE Trans Biomed Eng · 2009

basic_science · Level V

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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.

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