表面肌电采集信号的系统设计与算法分析  

System Design and Algorithm Analysis of Surface EMG Signal Acquisition

作　　者：李顺 邢绪坡 宋成利[1] LI Shun;XING Xupo;SONG Chengli(School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学健康科学与工程学院,上海200093

出　　处：《软件工程》2022年第4期58-62,共5页Software Engineering

基　　金：2019年度科技部数字诊疗装备研发重点专项“全景复合式数字腹腔镜的产业化”(2019YFC0120402).

摘　　要：针对表面肌电信号的微弱性、低频性和强噪声性,设计了高共模抑制比、抗干扰能力强的表面肌电信号采集系统,并对采集到的信号进行处理分析。系统中包含放大电路、滤波电路、电平抬升电路、主控电路,采集受试者手臂放松、握拳、展臂、模拟震颤四种姿势的表面肌电信号,经串口通信将传感器所采集到的数据上传至上位机,之后将采集到的表面肌电信号进行中值滤波及傅立叶变换分析。测试结果表明,系统可以有效提取0—500 Hz的有用信号,且四种姿势下的表面肌电信号主要能量集中在0—500 Hz,在0—200 Hz内更为明显,符合表面肌电信号的频率特性。表面肌电信号采集系统具有可靠性和抗干扰性,拥有较好的市场应用前景。Aiming at the weak,low frequency and strong noise of surface electromyography(sEMG)signals,this paper proposes to design a sMEG signal acquisition system with high common mode rejection ratio and strong anti-interference ability,and then process and analyze the collected signals.The system includes amplifying circuit,filtering circuit,level-boosting circuit,and main control circuit.It collects the sEMG signals of the subject's four postures-arm relaxation,fist-pushing,arm-stretching,and simulated tremor.The data collected by the sensor is uploaded to the host computer through serial communication.Then the collected sEMG signals are subjected to median filtering and fast Fourier transform analysis.Test results show that the system can effectively extract useful signals between 0—500 Hz,and the main energy of sEMG signals in the four postures is concentrated in 0—500 Hz,especially in 0—200 Hz,which is consistent with the frequency characteristics of sEMG signals.The sEMG signal acquisition system has a good market application prospect with its reliability and anti-interference.

关 键 词：表面肌电信号 信号采集 滤波 快速傅立叶变换 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]