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

Authors
  • Rivet, Bertrand
  • Souloumiac, Antoine
  • Attina, Virginie
  • Gibert, Guillaume
Type
Published Article
Journal
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Aug 01, 2009
Volume
56
Issue
8
Pages
2035–2043
Identifiers
DOI: 10.1109/TBME.2009.2012869
PMID: 19174332
Source
Medline
License
Unknown

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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