摘要
针对脑机接口(BCI)系统中4类运动想象的脑电信号ERD/ERS现象进行研究,提出了一种重复二分共同空间模式(RB-CSP)算法用于4类运动想象脑电信号的特征提取,并运用SVM进行分类研究.实验结果表明,该方法与传统的4分类CSP扩展算法OVR-CSP相比,减小了算法复杂程度,缩短了信号处理时间,提高了准确率,为在线脑机应用提供了一种新的解决方法.
In this paper, based on analysis of the phenomenon of ERD/ERS in brain-computer interface （BCI）, an improved repeated bisection common spatial pattern （RB-CSP） algorithm was presented to extract the features of four-class motor imagery EEG and the support vector machine （SVM） was used to classify. The experimental results show that, the proposed algorithm can reduce time consumption and complexity, can produce high classification accuracy, compared with OVR-CSP of the CSP traditional extensions. The proposed algorithm provides a new solution to real-time BCI systems.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2016年第8期844-850,共7页
Transactions of Beijing Institute of Technology
基金
高校2015年度常规引智资助项目(C2015033)
