Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction
Liu GJ(刘光军)2,3; Li ZY(李自由)1,3; Ding QC(丁其川)3; Zhao XG(赵新刚)3; Han JD(韩建达)3; Jiang Y(姜勇); Wang HG(王洪光); Song YF(宋屹峰)
2017
会议名称2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
会议日期December 5-8, 2017
会议地点Macau, China
关键词EMG Decomposition Motor Units Action Potential Wavelet transform muscle contraction evaluation
页码965-970
通讯作者Li ZY(李自由)
中文摘要Decomposition of EMG (electromyography), in which the MUAPs (Motor Units Action Potentials) are extracted from the original EMG signals, is a useful approach for evaluating the physiological properties of muscles and studying the neural mechanism of human motions. Existing decomposition methods usually extracted the MUAPs via the waveform matching between the detected spikes and MUAP templates. However, those methods always involve too many artificial parameters and have no generally mathematical expression, which make them inflexible in practical applications and also cause poor robustness under interference. With respect to the problem, in this paper, a wavelet-based decomposition method is proposed to detect the "true" MUAPs from sEMG. Two standard Gaussian wavelets are firstly defined as the basic MUAP expressions; then, wavelet transform is performed to describe scales and magnitudes of different MUAPs from different nerve fibers. Experiments were conducted to verify the performance of the proposed method, where MUAPs decomposed from sEMG under different levels of muscle contraction can be effectively detected by the method.
收录类别EI
产权排序1
会议主办者Beijing Institute of Technology; City University of Hong Kong; IEEE Robotics and Automation Society; Shenzhen Academy of Robotics; University of Hong Kong; University of Macau
会议录Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-3741-8
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/22184]  
专题沈阳自动化研究所_空间自动化技术研究室
作者单位1.University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
2.Department of Aerospace Engineering, Ryerson University, Toronto, ON, Canada
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Liu GJ,Li ZY,Ding QC,et al. Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction[C]. 见:2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017. Macau, China. December 5-8, 2017.
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