• IEEE Trans Biomed Eng · Aug 2009

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

    • Bertrand Rivet, Antoine Souloumiac, Virginie Attina, and Guillaume Gibert.
    • GIPSA Laboratory, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche (UMR), Grenoble, France. bertrand.rivet@gipsa-lab.inpg.fr
    • IEEE Trans Biomed Eng. 2009 Aug 1; 56 (8): 2035-43.

    AbstractA 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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