摘要
针对脑-机接口研究中运动想象脑电信号的模式识别问题,利用C3,C4电极处采集的信号,通过离散小波变化(DWT)进行特征提取,使用支持向量机(SVM)进行了左右手运动想象模式分类。
Aiming at the problem of pattern recognition of motor imagery electroencephalo- graphy （EEG） in the research of brain - computer interface （BCI）, at first the feature extraction based on discrete wavelet transform （DWT） is conducted by the use of the signal from the C3 electrode and C4 electrode. Secondly, the pattern classification is accomplished by the use of support vector machine on the problem of the left and right hand movement imagination.
出处
《机械与电子》
2013年第10期17-20,共4页
Machinery & Electronics
关键词
脑-机接口
运动想象
ERD
ERS
离散小波变化
支持向量机
brain - computer interface
motorimagery
ERD/ERS
discrete wavelet transform
support vector machine
