xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain-Computer Interface

被引:351
|
作者
Rivet, Bertrand [1 ,2 ]
Souloumiac, Antoine [2 ]
Attina, Virginie [3 ,4 ,5 ]
Gibert, Guillaume [3 ,4 ,5 ]
机构
[1] CNRS, GIPSA Lab, UMR 5216, Grenoble Inst Technol, F-38000 Grenoble, France
[2] CEA, LIST, Stochast Proc & Spectra Lab, F-91191 Gif Sur Yvette, France
[3] INSERM, Natl Inst Hlth & Med Res, F-69500 Lyon, France
[4] Inst Federatif Neurosci IFR 19, F-69000 Lyon, France
[5] Univ Lyon 1, F-69500 Lyon, France
关键词
Brain-computer interface (BCI); P300; speller; spatial enhancement; xDAWN algorithm; BCI COMPETITION 2003; MENTAL PROSTHESIS; SEPARATION; ENSEMBLE;
D O I
10.1109/TBME.2009.2012869
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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 [1]. 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 [2], show that the proposed method is efficient and accurate.
引用
收藏
页码:2035 / 2043
页数:9
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