【作者】 金海龙； 张春华； 赵军卯；

【Author】 Jin Hailong, Zhang Chunhua, Zhao Junmao (Institute of Electric Engineering, Yanshan University, Qinghuangdao 066004, China; Study department of metric testing,, Qinghuangdao 066004, China)

【机构】 秦皇岛市燕山大学电气工程学院； 秦皇岛市计量测试研究所；

【摘要】 本论文介绍了根据肌肉疲劳的表面肌电信号的特征变化所设计的智能监测系统。该系统通过专用敏感元件表面电极,从人体待测肌肉部位连续取得表面肌电信号。该信号被送入采用MSP430F449单片机进行处理的中央处理系统,通过与正常的表面肌电信号作比较, 对采集的肌电数据实现实时检测、分析、有选择地记录,当肌肉疲劳达阈值时并具有及时报警等功能。为了降低功耗,减小硬件的重量和体积,采用软件滤波,数据压缩存储等方法。该系统还可与上位机相联显示或打印出异常的表面肌电信号波形,供医务人员参考。更多还原

【Abstract】 This paper brings forward an intelligent monitoring system, according to changes of SEMG characters. This system makes use of surface electrodes to continuously pick up SEMG from muscle of human. Then SEMG are transmitted to the central processing unit, which adopts MSP430F449 singlechip, and where the gathered SEMG are compared with normal SEMG. Then the data of the gathered SEMG can be real-timely monitored, analyzed, recorded. And this system can give alarm signal when the degree of muscle fatigue comes to limit. Considering reducing power, decreasing the weight and volume, the methods of software filtering and compressing-data storage are adopted. This system also can be connected with some machines, which can show and print waves of exceptional SEMG to be consulted by a doctor.更多还原