基于DSP的肌电信号采集处理

Electromyography Collection and Processing Based on DSP

肌电信号(Electromyography)EMG作为一种重要的生物电信号,已经被广泛应用于仿生学、生物反馈、运动医学和康复工程中。近年来,肌电信号的研究发展日益迅猛。主要研究了肌电信号的采集、分析,基于现有的数据采集放大电路和DSP开发平台,找出肌肉产生肌电信号较强的位置即最合适安放采集电极的位置。本文选择了9种手势动作,运用MATLAB对做不同手势动作时采集的肌电信号进行离线分析,同时对肌电信号进行滤波处理,分析得出结论。对采集过程中的干扰源进行分析,尽可能减少50 Hz工频信号的干扰。

As an important biological signal, eleetromyography （EMG） has been used widely in bionics, biofeedback, sports medicine and rehabilitation engineering. Recently, the research and development on EMG grow rapidly. Focusing on the collection and analysis of the EMG, the muscle localization can be found to generate strong EMG, i. e. the most suitable position for the placement of the electrode based on the existing data collection amplifying circuit and DSP development platform. MATLAB is used to analyze the EMG signal from 9 gestures, filter the signal and draw the conclusions. The interference sources in the acquisition process are also analyzed and the method of re-ducing interference of the 50 Hz power frequency signal is found.