摘要
为了找出在大脑的后顶叶皮层区(PPC)运动意图预测与运动想象EEG信号之间的关联,联合运动相关电位MRPs与mu/beta节律的事件相关同步/去同步(ERS/ERD)特征,首先用小波包分解WPD重构特征频段的小波包分解系数特征向量,其次采用共空间模式CSP提取空域特征向量,最后利用支持向量机(SVM)进行运动意图预测;通过实验验证,联合运动想象信号中的运动相关电位及mu/beta节律,运动意图预测分类准确率达到85%;证实了运动相关MRPs可以表征运动准备即运动规划阶段的脑神经机制;10Hz以下的mu和beta节律ERS/ERD特征能够体现运动意图的方向;研究结论进一步为精细运动(包括运动方向、速度等其他运动参数)预测提供技术支持。
To find out how prediction of motor intention in the posterior parietal cortex(PPC)correlates with motor imagery EEG signal,this study joints movement-related potentials(MRPs)and the ERS/ERD features of mu/beta rhythm,in the first instance,wavelet packet decomposition(WPD)is proposed to reconstruct characteristic frequency band for feature vector of wavelet packet decomposition coefficients;moreover,spatial features vectors are extracted by common spatial patterns(CSP);in the end,support vector machine(SVM)as classifier is utilized to serve for predicting motor intention.Combining MRPs and mu/beta rhythm during motor imagery EEG signal,the classification accuracy is up to 85%.The result indicates that:1)the brain nerve mechanism of movement readiness and movement planning stages can be characterized by MRPs;2)the ERS/ERD features of mu/beta rhythm on low frequency components below 10 Hz carry information about intended movement direction.And the conclusions further offer a technological support for predicting meticulous movement intention including direction,speed and so on of movement parameters.
作者
柳建光
袁道任
冯少康
Liu Jianguang, Yuan Daoren, Feng Shaokang(27 th Research Institute of China Electronics Technology Group Corporation, Zhengzhou 450047, Chin)
出处
《计算机测量与控制》
2018年第5期37-41,共5页
Computer Measurement &Control