Rivet Bertrand, Souloumiac Antoine, Attina Virginie, Gibert Guillaume
GIPSA Laboratory, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche (UMR), Grenoble, France.
IEEE Trans Biomed Eng. 2009 Aug;56(8):2035-43. doi: 10.1109/TBME.2009.2012869. Epub 2009 Jan 23.
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.
脑机接口（BCI）是一种通信系统，它能够借助大脑活动来控制计算机或任何其他设备。本文所描述的脑机接口基于法韦尔和唐钦提出的P300拼写器脑机接口范式。提出了一种无监督算法，通过估计空间滤波器来增强P300诱发电位；然后将原始脑电图（EEG）信号投影到估计的信号子空间中。使用记录在三名受试者身上的数据来评估所提出的方法。使用贝叶斯线性判别分析分类器呈现的结果表明，所提出的方法高效且准确。
