Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction
	Li ZY(李自由)2,3 ; Liu GJ(刘光军)1,3 ; Zhao XG(赵新刚)3 ; Han JD(韩建达)3 ; Ding QC(丁其川)3
	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
英文摘要	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.
源文献作者	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
产权排序	1
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://119.78.100.139/handle/173321/22126]
专题	沈阳自动化研究所_机器人学研究室
通讯作者	Li ZY(李自由)
作者单位	1.Department of Aerospace Engineering, Ryerson University, Toronto, ON, Canada 2.University of Chinese Academy of Sciences (UCAS), Beijing 100049, China 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	Li ZY,Liu GJ,Zhao XG,et al. Wavelet-based detection on MUAPs decomposed from sEMG under different levels of muscle isometric contraction[C]. 见:. Macau, China. December 5-8, 2017.