基于CEEMD-VMD-SIST算法的sEMG信号降噪方法  

Denoising Method for sEMG Signal Based on CEEMD-VMD-SIST Algorithm

作　　者：李效 张明 张倩 叶轩 LI Xiao;ZHANG Ming;ZHANG Qian;YE Xuan(School of Electronic&Electrical Engineering,Wuhan Textile University,Wuhan 430000,China)

机构地区：[1]武汉纺织大学电子与电气工程学院,武汉430000

出　　处：《计算机测量与控制》2024年第4期180-187,共8页Computer Measurement &Control

基　　金：国家自然科学基金项目(51477124)。

摘　　要：针对基于表面肌电信号(sEMG)的手势识别中,由于传统降噪算法对sEMG信号高频部分分解不当或存在频率混叠现象使得对含噪sEMG信号降噪效果不佳而导致手势识别精度大大降低的问题,提出使用基于互补集合经验模态分解(CEEMD)与变分模态分解(VMD)组合的滑动区间软阈值(SIST)降噪算法(CEEMD-VMD-SIST)对含噪sEMG信号进行降噪处理;使用CEEMD将含噪信号分解为从高频到低频的多个不同本征模态函数(IMF),根据自相关系数客观界定后续降噪模态分量范围,对选中的模态分量采用VMD的SIST方法进行分解降噪并与部分剩余模态分量进行重构;从实验结果中可以看出,在不同信噪比下,所提算法的降噪性能与传统降噪方法相比,信噪比与均方根误差均有明显改善,可以更大程度上保留信号的有用信息,即所提算法的降噪性能更佳。For gesture recognition based on surface electromyography(sEMG)signals,the sEMG signals have poor denoising characteristics such as improper decomposition of high-frequency parts or frequency aliasing in traditional denoising methods,resulting in a significant decrease in the gesture recognition accuracy,a sliding interval soft threshold(SIST)denoising algorithm based on complementary ensemble empirical mode decomposition and variational mode decomposition(CEEMD-VMD-SIST)is proposed for denoising the sEMG signals.The noisy signal is decomposed into multiple intrinsic mode functions(IMF)from high frequency to low frequency by using the CEEMD,and the modal component range of the signal is objectively determined according to the autocorrelation coefficients,the selected components are decomposed and denoised by the VMD-SIST and reconstructed with some remaining modal components.Experimental results show that compared with the traditional denoising methods and under different signal-to-noise ratios(SNR),the proposed algorithm significantly improves the denoising performances of SNR and root mean square error(RMSE),and preserves the useful components of signals to a large extent,the proposed algorithm has a better noise reduction performance.

关 键 词：SEMG 互补集合经验模态分解 变分模态分解 自相关系数 CEEMD-VMD-SIST 

分 类 号：TN911.4[电子电信—通信与信息系统]