基于组合小波变换的表面肌电信号的去噪研究  

Study on Surface EMG Denoising Based on Combined Wavelet Transform

作　　者：徐浩 李宪华[1,2] 于浩浩 田硕宇 XU Hao;LI Xianhua;YU Haohao;TIAN Shuoyu(School of Mechanical Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China;School of Artificial Intelligence,Anhui University of Science and Technology,Huainan Anhui 232001,China)

机构地区：[1]安徽理工大学机械工程学院,安徽淮南232001 [2]安徽理工大学人工智能学院,安徽淮南232001

出　　处：《佳木斯大学学报（自然科学版）》2023年第3期24-27,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：安徽省重点研究与开发计划项目(2022i01020015)。

摘　　要：针对表面肌电信号(sEMG)在采集过程中存在高频噪声和基线漂移干扰的问题,将小波变换阈值去噪和小波变换数字滤波阈值去噪相结合,相对于单一的去噪方法,组合小波去噪方式在不仅能解决基线漂移的问题,而且在去除高频噪声时效果更加理想。实验结果证明了这种方法的优越性。To solve the problem of high frequency noise and baseline drift interference in the acquisition process of surface EMG signal(sEMG),the wavelet transform threshold denoising and wavelet transform digital filter threshold denoising are combined.Compared with a single denoising method,the combined wavelet denoising method can not only solve the problem of baseline drift,but also have a better effect in removing high frequency noise.The experimental results prove the superiority of this method.

关 键 词：SEMG 小波去噪 基线漂移 信号处理 

分 类 号：R318[医药卫生—生物医学工程]