Research of Brain-Computer Interface based on the Time-Frequency-Spatial Filter

摘要：

In order to improve the accuracy of the brain state classification, the Time-Frequency-Spatial filter algorithm is put forward. In this algorithm, the signal features are extracted in terms of time, frequency and space. The parameters of the spatial pattern filter are not fixed, but variable with time. Specific frequency bands are also optimized simultaneously in this algorithm. So it can perfect the BCI pattern. It is applied to BCI datasets to illustrate the performance and validity of the algorithm. And the results indicate the algorithm can improve the accuracy of classification. The method will facilitate to classify EEG signals with small training sets.

关键词： brain-computer interface (BCI) common spatial patterns (CSP) Electroencephalogram Spatial filter

作者: Yu Xunquan Xiao Mansheng Tang Yan

作者单位: Hunan Railway College of Science & Technology,Zhuzhou,China College of Science,Hunan University of Technology,Zhuzhou China Info-Physics Engineering Institute Central South University Changsha,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）