Classification of four-class motor imagery EEG data using spatial filtering

摘要：

An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are73.3％, 81.7％, and 76.7％.

关键词： Brain Computer Interface (BCI) EEG Common Spatial Patterns(CSP) one-versus-rest

作者: Lu Wang Xiao-pei Wu

作者单位: The Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education, Anhui Univesity, Hefei,China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2153-2156

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）