表面肌电信号采集及动作识别系统

摘要

搭建了一个表面肌电信号采集及动作识别系统,系统由硬件和软件两部分组成.硬件部分前端采用一次性表面贴片式电极作为输入传感器,肌电信号采集后经信号放大器的滤波放大、经数据采集卡的模数转换后将信号输入到电脑；软件部分在LabVIEW平台下开发完成,利用小波变换方法进行特征提取,采用BP神经网络进行人体上肢特定动作的识别.特征提取和动作识别均在LabVIEW平台下实现.通过该系统,实现了对于肌电信号的实时采集、处理和对所设定上肢动作的准确识别.%It describes a surface electromyography (sEMG)acquisition and motion recognition system,which is made up of hardware and software.For hardware,it chooses a surface SMD electrode as the input sensor,and the signal is imported to computer through amplifier and data acquisition card.This system develops under LabVIEW platform,and a wavelet transform method has been developed to extract feature,which uses neural network to recognize the specified motion.Feature extract and motion recognize are completed under LabVIEW platform.The system is useful to acquire and process signal,which could recognize the specified motion of upper limb with high accuracy.