糜超,陈阳,邹凌

• 1:常州大学信息科学与工程学院
• 2:常州市生物医学信息技术重点实验室

摘要(Abstract)：

为了利用表面肌电信号自动检测肌肉疲劳状态,设计一套8导联表面肌电采集系统。该系统主要包括模拟前端放大电路、主控模块和电源模块三部分,并研究了肌肉疲劳与正常状态下表面肌电信号的特征提取及分类方法。实验表明:自行设计的放大器分辨率为38.1μV,系统噪声小于15.3μV,采样率达到1 000 Hz,功耗约为30.7 mW;使用该放大器采集肌肉疲劳与正常状态下肌电信号,支持向量机分类的识别率高达98%。该系统具有体积小、精度高、功耗低及操作简便等优点,可用于家庭健康监护领域。

关键词(KeyWords)： 表面肌电信号;肌肉疲劳;特征提取;支持向量机;放大电路;健康监护

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(61201096);; 江苏省“青蓝工程”资助项目~~

作者(Author): 糜超,陈阳,邹凌

DOI: 10.16652/j.issn.1004-373x.2018.20.019

参考文献(References)：

• [1] BOYAS S,GUéVEL A. Neuromuscular fatigue in healthy muscle:underlying factors and adaptation mechanisms[J]. Annals of physical&rehabilitation medicine,2011,54(2):88-108.
• [2] NA Y,CHOI C,LEE H D,et al. A study on estimation of joint force through isometric index finger abduction with the help of SEMG peaks for biomedical applications[J]. IEEE transactions on cybernetics,2016,46(1):2-8.
• [3] DASOG M,KOIRALA K,LIU P,et al. Electromyogram bandwidth requirements when the signal is whitened[J]. IEEE transactions on neural systems and rehabilitation engineering,2014,22(3):664-670.
• [4] ROGERS D R,MACISAAC D T. EMG-based muscle fatigue assessment during dynamic contractions using principal component analysis[J]. Journal of electromyography and kinesiology,2011,21(5):811-818.
• [5]周兵,纪晓亮,张荣,等.基于嵌入式技术的表面肌电信号采集仪设计[J].现代电子技术,2010,33(6):55-57.ZHOU Bing,JI Xiaoliang,ZHANG Rong,et al. Design of surface EMG acquisition instrument based on embedded technology[J]. Modern electronics technique,2010,33(6):55-57.
• [6] KOUTSOS E,GEORGIOU P. An analogue instantaneous median frequency tracker for EMG fatigue monitoring[C]//Proceedings of IEEE International Symposium on Circuits and Systems.Melbourne:IEEE,2014:1388-1391.
• [7] VAN RIJN A C M,PEPER A,GRIMBERGEN C A. Highquality recording of bioelectric events[J]. Medical&biological engineering&computing,1990,28(5):389-397.
• [8] Texas Instruments. ADS1278-HT:octal,simultaneous-sampling 24-bit analog-to-digital converter[EB/OL].[2013-04-01].http://www.ti.com/lit/ds/symlink/ads1278-ht.pdf.
• [9] Tianjin Quality Supervision and Inspection Center of Medical Device, CFDA. Myoelectric biofeedback equipment:YY/T1095-2015[S/OL].[2015-03-02]. http://www.168i.cn/soft/show.asp?id=218720.
• [10]汤烈,葛良全.一种滤除表面肌电信号中工频干扰的新型方法[J].现代电子技术,2015,38(4):30-34.TANG Lie,GE Liangquan. A novel method of filtering the power-line interference in surface EMG signal[J]. Modern electronics technique,2015,38(4):30-34.