Wavelet Packet Coefficients Weighted for Frequency Optimization in Motor Imagery Based Brain-Computer Interfaces

摘要：

Common spatial patterns (CSP) is a successful algorithm in motor imagery (MI) based brain-computer interfaces (BCI). However, the performance of the algorithm in electroencephalography (EEG) classification depends largely on the subjects specific frequency band. In this paper, we proposed a new wavelet packet coefficients weighted CSP (WPWCSP) algorithm to optimize the frequency band of the specific subject for motor imagery (MI) classification. The algorithm is applied to 5 MI data sets of two classes. The results suggest that the proposed algorithm achieves a 4％ increase of classification accuracy in off-line analysis, compared to the original CSP algorithm using 8-30 Hz wide band.

关键词： brain-computer interfaces motor imagery wavelet packet frequency optimization

作者: Qingguo Wei Bin Wan

作者单位: Department of Electronic Engineering, Nanchang University, Nanchang 330031, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 899-902

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）