基于运动想象脑电信号的特征提取与分类

Feature Extraction and Classification of EEG Based on Motor Imagery

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.