Abstract

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Title:: A composite evaluation indicator of wavelet denoising in surface electromyography of rhesus monkey

Author(s):: LIU Ruoxi1; RAO Jiasheng1; 2; WEI Ruihan1; ZHAO Can2; 3; YANG Zhaoyang2; 4; LI Xiaoguang1; 2; 4; 1. Beijing Key Laboratory for Biomaterials and Neural Regeneration, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China 2. Beijing International Cooperation Bases for Science and Technology on Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100083, China 3. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100083, China 4. Department of Neurobiology, School of Basic Medicine, Capital Medical University, Beijing 100069, China

Keywords:: rhesus monkey surface electromyography denoising coefficient of variation evaluation indicator

Abstract:: The denoising of the surface electromyography (sEMG) of rhesus monkey has great significance for the kinematics research, and its effect directly affects the accuracy of motor function evaluation. Aiming at the problem of the lack of method for comprehensively evaluating sEMG denoising effect, a composite evaluation indicator determined by the coefficient of variation is proposed. The original indicators such as signal-to-noise ratio, root-mean-square error, smoothness and cross correlation coefficient were firstly calculated, and then were processed with positive management and averaging. Subsequently, the coefficient of variation was used to calculate the weights, and the preprocessed original indicators were combined into a composite indicator. Further simulation experiments and actual experimental data calculations show that the composite indicator proposed in this study achieves a sensitivity of 1.72%±0.02% and an accuracy of 83.64%, which are significantly higher than the sensitivity (1.04%±0.01%) and the accuracy (75.76%) of existing indicator. The proposed composite indicator which can be used to better represent the wavelet denoising effect has certain application value in the study of the behavior of rhesus monkeys.