文章选取时域分析法对表面肌电信号的提取其特征值,意在于能够得到能较好地表征肌电信号的特征向量,使得之后的分类器能够有效地对表面肌电信号进行分类识别.在对信号进行识别分类识别时,所设计的小波神经网络可以将各动作信号特征值转化为线性组合,简化动作的分类识别过程.%In order to characterize the sEMG signals by eigenvector, this paper describes a method based on time-frequency domain analysis method it extracts the feature of the sEMG signals. With these eigenvector, it can do better in the processing of classification and identification about sEMG. When recognizing the eigenvector by the wavelet neural network, the output of network will be a linear combination with the eigenvector, and the processing will become simple.
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