摘要
表面肌电采集技术简便易行,是一种无创伤、无辐射、不适程度低、操作简单、费用低廉的检测方法,在医学、体育科学、人工智能等领域具有重要应用价值,应用前景广泛.文章针对表面肌电信号采集技术在医学、体育科学、人工智能方面的应用,详细阐述表面肌电技术在肌肉疲劳、控制仿人型假手、预测检测糖尿病等应用中的具体过程及表面肌电信号特征值关键参数的选择.通过对比不同领域中肌电信号采集技术的使用及特征值的选择,总结不同特征值在不同实际领域中的具体作用,最后针对肌电信号采集技术在运动检测、疾病预测检测方面提出相应展望.
Abstract
Surface electromyography acquisition technology is simple and convenient,it is a non-invasive,non-radiative,low discomfort,simple operation,and low-cost detection method.It has important application value in the fields of medicine,sports science,and artificial intelligence.Aiming at the application of surface electromyography signal acquisition technology in medicine,sports science and artificial intelligence,the paper elaborates the specific process of surface electromyography technology in the application of muscle fatigue,control of humanoid prosthetic hand,prediction and detection of diabetes,and the selection of key parameters of surface electromyography characteristic value.By comparing the use of EMG signal acquisition technology in different fields and the selection of eigenvalues,the specific functions of different eigenvalues in different practical fields are summarized.Finally,the corresponding prospects of EMG signal acquisition technology in motion detection and disease prediction detection are put forward.
基金项目
广西高校中青年教师科研基础能力提升项目(2022KY0859)
NETL
NSTL
万方数据