BCI competition 2005: Data set I

Group information:

Institute of Biomedical Engineering of Xi�an Jiaotong University

Xi�an, 710049, P. R. China

Team Member: Xiaomei Pei, Guangyu Bin

pei@zy165.com

Supervisor: Prof. Chongxun Zheng.

1. Description of our method

Firstly, according to Fisher ratio, the 4 channels with most reactive power features are selected.

Secondly, by EEG signal of 4 channels within 3 sec, 2-order MVAR (multi-variate AR) model is established and the MVAR coefficients are extracted as feature vectors for further classification.

Finally, by Fisher Discriminant Analysis, the two EEG patterns could be discriminated.�

2. Format of the data

The result is saved in a Matlab-file format. res.mat is the classification output with labels -1, 1 of the test data.� �