传感技术学报2016，Vol.29Issue(5)：647-653,7.DOI:10.3969/j.issn.1004-1699.2016.05.004
基于小波变换的表面肌电信号低功耗压缩滤波算法
Low Power Compression Filtering Algorithm for Surface Electromyographysignal Based on Wavelet Transform
摘要
Abstract
Based on the existing system of sampling and transmitting surface electromyography signal,three algo-rithms has been performed to respectively optimize the critical process of sampling,transmitting and preprocessing:reducing the power consumption when sampling,reducing the transmission power and bandwidth load by high-rate data compression with low distortionduring transmission,filtering the power frequency interference at the receiving end.Also the complexity of algorithmsis evaluated and the adaptive strategy of parameters is put forward.The simula-tion results show that the proposed algorithms have a good practical value for the design and optimization of low pow-er surface electromyography signal system.关键词
表面肌电信号/低功耗/小波变换/压缩/工频滤除Key words
surface electromyography signal/low power consumption/wavelet transform/compression/filtering the power frequency interference分类
信息技术与安全科学引用本文复制引用
毛东杰,张晓濛,蒋小文,黄凯..基于小波变换的表面肌电信号低功耗压缩滤波算法[J].传感技术学报,2016,29(5):647-653,7.基金项目
浙江省自然科学基金项目(LY14F020026) （LY14F020026）
中央高校基本科研业务费专项资金项目(2013QNA5008) （2013QNA5008）
