一种便携式表面肌电采集系统设计

A Portable Acquisition System Design for Surface Electromyography

为有效提高表面肌电采集系统的便携性,设计了一种新型的便携式表面肌电采集系统。该系统的硬件系统由前置放大电路、滤波电路、电平抬高电路等组成,软件系统则是利用C#和MATLAB混合编程对肌电信号进行实时显示和预处理。利用该系统采集肌电信号,并选择基于模糊熵特征量和支持向量机的方法识别手部动作。实验结果表明,系统成功地采集到肌电信号,并且采集部分体积为40cm^3,达到小型化,便于携带。同时在动作识别测试中,握拳动作识别率达到了100%,展拳动作识别率是88.9%,具有较高的识别率。

In order to improve the portability of the acquisition system for surface electromyography effectively, a new portable acquisition system is designed. The hardware system is composed of a preamplifier, a filter circuit, a levelelevation circuit, etc. The program system is designed by the MATLAB and C# language, and the SEMG sig nals is displayed in real time and preprocessed. SEMG signals are acquired by the system, and then a method which is combined the fuzzy entropy with Support Vector Machine is used to identify hand actions. The experimental re sults of the experiment show that the system successfully collect the signals of SEMG, and the volume of the signal acquisition part is 40cm3. It is miniaturized and portable. The recognition rate of hand grasps is up to 100%, and the recognition rate of hand extension is 88.9% in action recognition test, which has a high recognition rate.