基于二代小波变换和盲信号分离的肌电信号工频去噪处理方法  

A Power Frequency Noise-Reduction Disposal Method of SEMG Based on Second Generation Wavelet Transform and Blind Signal Separation

作　　者：左静[1] 岑红蕾[1] 任玲[1] 

机构地区：[1]新疆石河子大学机电学院,新疆石河子832003

出　　处：《农业网络信息》2016年第5期62-65,68,共5页Agriculture Network Information

摘　　要：通过数据采集装置获取的表面肌电信号往往含有一些噪声和干扰,其中主要为50Hz工频干扰。为了得到有效的sEMG,本文提出一种二代小波变换和独立分量分析(ICA)相结合的方法。先利用二代小波变换的消噪作用,将采集到的sEMG中的部分噪声去除,再经过FastICA算法对经过二代小波消噪后的信号进行工频去噪,实验最后利用相关性系数验证ICA分量与原始sEMG的一致性。The SEMG signals acquired by the data acquisition device often contained some noise and interference,which were mainly 50 Hz power frequency interference.In order to get effective SEMG,this paper put forward a method that combined the Second Generation Wavelet Transform with the Independent Component Analysis（ICA）.By using the noise filtering function of Second Generation Wavelet Transform,some noises were removed first from the SEMG acquired.Then,the signals（after Second Generation Wavelet Transform） were removed power frequency noise by using FastICA algorithm.The experiment finally used correlation coefficient to verify the consistency of ICA component and original SEMG.

关 键 词：表面肌电信号 独立分量分析 二代小波变换 FASTICA算法 工频干扰 互相关系数 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]