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BCI Competition 2003--Data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI
Neng Xu1, Xiaorong Gao, Bo Hong
1Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China. xuneng01@mails.tsinghua.edu.cn
IEEE Transactions on Bio-Medical Engineering
|June 11, 2004
Abstract:
An algorithm based on independent component analysis (ICA) is introduced for P300 detection. After ICA decomposition, P300-related independent components are selected according to the a priori knowledge of P300 spatio-temporal pattern, and clear P300 peak is reconstructed by back projection of ICA. Applied to the dataset IIb of BCI Competition 2003, the algorithm achieved an accuracy of 100% in P300 detection within five repetitions.