恒河猴表面肌电信号小波去噪的复合评价指标

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

恒河猴表面肌电信号(sEMG)的去噪处理对于恒河猴运动学研究具有重要意义,其效果直接影响对恒河猴运动功能评价的准确度。针对该类sEMG去噪效果综合评价法缺失的问题,提出一种通过变异系数定权确定的复合评价指标。首先计算去噪信号的信噪比、均方根误差、平滑度、互相关系数等原始指标,并进行正向化、均值化处理,再利用变异系数计算指标权重,将预处理后的原始指标加权组合为复合指标。进一步的仿真实验和实际实验数据计算表明,本文构建的复合评价指标敏感性为1.72%±0.02%、准确性为83.64%,均显著高于现有指标的敏感性(1.04%±0.01%)和准确性(75.76%),能够较好地反映恒河猴sEMG小波去噪效果,在恒河猴的运动行为研究中具有一定的应用价值。

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.