xDAWN algorithm to enhance evoked potentials: application to brain-computer interface. - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Biomedical Engineering Année : 2009

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

Résumé

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.
Fichier principal
Vignette du fichier
2009_IEEE_BME.pdf (2.52 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00454568 , version 1 (08-02-2010)

Identifiants

Citer

Bertrand Rivet, Antoine Souloumiac, Virginie Attina, Guillaume Gibert. xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.. IEEE Transactions on Biomedical Engineering, 2009, 56 (8), pp.2035-43. ⟨10.1109/TBME.2009.2012869⟩. ⟨hal-00454568⟩
555 Consultations
1193 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More