摘要
目前,运动想象脑-机接口(motor imagery brain computer interface,MIBCI)的离线分析和研究相对比较成熟,但是异步在线MIBCI始终具有挑战性。针对在线BCI系统的识别率和控制方式,提出了利用共空间模式(common spatial pattern,CSP)算法对运动想象(motor imagery,MI)进行特征提取并结合alpha波进行异步控制。构建了一种简单实用的自主控制小球运动MIBCI实验系统。有四名受试者参加了在线实验,其中有两名受试者在线运动想象识别正确率最高能达到100%。实验结果验证了本文所建系统的可行性和实用性。
At present,offline analysis and research of motor imagery brain computer interface(MIBCI)is relatively mature,but asynchronous online MIBCI is always challenging.Aiming at the recognition rate and control method of online BCI system,this paper proposes the use of common spatial pattern(CSP)algorithm for feature extraction of motor imagery(MI)and asynchronous control with alpha wave.A simple and practical autonomous control ball movement MIBCI experimental system was constructed.Four subjects participated in the online experiment,and two of them had an online motion imaging recognition rate of up to 100%.The experimental results verify the feasibility and practicability of the system built in this paper.
作者
张全羚
欧阳蕊
陈文伟
吴小培
Zhang Quanling;Ou Yangrui;Chen Wenwei;Wu Xiaopei(Key Lab of Intelligent Computing and Signal Processing,Anhui University,Hefei,Anhui 230039,China)
出处
《信号处理》
CSCD
北大核心
2019年第10期1690-1699,共10页
Journal of Signal Processing
基金
国家自然科学基金(61271352)
关键词
共空间模式
脑-机接口
在线系统
alpha波
common spatial pattern
brain-computer interface
online system
alpha wave
