多通道表面肌电信号同步采样与处理研究  

Synchronous sampling and processing of multi-channel surface myoelectric signal

作　　者：陈蕾 林明星[1,2] 代成刚[1] 吴筱坚 CHEN Lei;LIN MIngxing;DAI Chenggang;WU Xiaojian(School of Mechanical Engineering,Shandong University,Jinan 250061,China;Key Laboratory of High⁃efficiency and Clean Mechanical Manufacture,Ministry of Education,Jinan 250061,China)

机构地区：[1]山东大学机械工程学院,山东济南250061 [2]高效洁净机械制造教育部重点实验室,山东济南250061

出　　处：《现代电子技术》2020年第4期17-20,共4页Modern Electronics Technique

基　　金：山东省重点研发计划(公益类专项)(2017GGX30103)

摘　　要：在康复机器人的人机交互系统中,表面肌电信号(sEMG)发挥着重要作用。针对采集单通道的肌电信号已经不能满足获取更多信息量的需求,该文设计一个8通道的肌电信号同步采集系统。该系统包括表面电极贴片、仪表放大器、带通滤波与二级放大、50 Hz陷波器、同步采集ADC和无线蓝牙模块等部分。通过测试实验,该采集系统很好地采集了人体的表面肌电信号,有效去除了共模噪声和50 Hz的工频干扰。获取的同步肌电信号可以进一步用于人机交互系统的模式识别研究。Surface myoelectric signals(sEMG)play an important role in the human⁃computer interaction system of rehabilitation robot.As the single channel EMG signals has been unable to meet the need to obtain more information,an eight⁃channel myoelectric signal synchronous acquisition system is designed.The system includes surface electrode patch,instrumentation amplifier,bandpass filtering and secondary amplification,50 Hz notch filter,synchronous acquisition ADC,wireless bluetooth module and so on.The testing experiment results show that the acquisition system can well collect the sEMG of human body and effectively eliminate the common mode noise and 50 Hz power frequency interference.The obtained synchronous myoelectric signals can be further used in the study of pattern recognition of human⁃computer interaction system.

关 键 词：表面肌电信号 多通道信号 同步采集 信号处理 人机交互系统 系统测试 

分 类 号：TN911.7-34[电子电信—通信与信息系统]