PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

BCI competition 2003 -- data set IIa: Spatial patterns of self-controlled brain rhythm modulations
Gilles Blanchard and Benjamin Blankertz
IEEE Transactions in Biomedical Engineering Volume 51, Number 6, pp. 1062-1066, 2004.

Abstract

A brain-computer interface (BCI) is a system that should in its ultimate form translate a subject's intent into a technical control signal without resorting to the classical neuromuscular communication channels. By using that signal to, e.g., control a wheelchair or a neuroprosthesis, a BCI could become a valuable tool for paralyzed patients. One approach to implement a BCI is to let users learn to self-control the amplitude of some of their brain rhythms as extracted from multi-channel EEG. Here we present a method that estimates subject-specific spatial filters which allow for a robust extraction of the rhythm modulations. The effectiveness of the method was proved by achieving the minimum prediction error on data set IIa in the BCI Competition 2003, which consisted of data from three subjects recorded in 10 sessions.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:518
Deposited By:Gilles Blanchard
Deposited On:24 December 2004