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Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction
Li ZY(李自由)1,2; Ding QC(丁其川)1; Zhao XG(赵新刚)1; Han JD(韩建达)1; Liu GJ(刘光军)1,3
作者部门机器人学研究室
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
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
会议录名称Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
出版者IEEE
出版地New York
2017
页码965-970
收录类别EI
EI收录号20182905561455
产权排序1
ISBN号978-1-5386-3741-8
关键词EMG Decomposition Motor Units Action Potential Wavelet transform muscle contraction evaluation
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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22126
专题机器人学研究室
通讯作者Li ZY(李自由)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
3.Department of Aerospace Engineering, Ryerson University, Toronto, ON, Canada
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GB/T 7714
Li ZY,Ding QC,Zhao XG,et al. Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction[C]//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. New York:IEEE,2017:965-970.
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