Temporal-Spatial Filter Algorithm for MRP Feature Extraction

摘要：

For motor related brain-computer interface(BCI),discriminative spatial pattern (DSP)is one of the most Successful algorithms in extracting the feature of movement related potential (MRP).However,by sliding window and cross validation,DSP can not catch MRP temporal feature effectively.In this paper,we propose a new algorithm called temporal-spatial filter(TSF).Given MRP signals,TSF employs alternate optimization to seek a pair of temporal.spatial projections that simultaneously maxi-mizes the between-class scatter and minimizes the within-class scatter.The experimental results show that TSF outperforms DSP in extracting MRP feature.If combining the event-related desynchronization(ERD)and MRP,TSPF still obtains better performance than DSP.

关键词： Braln-computer Interface(BCI) movement re-lated potential(MRP) discriminative spatial pattern(DSP)

作者: Shengli Xie J.Lv Meichun Liu Jin Wang

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 707-710

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）