基于生理层肌电模型的表面肌电信号仿真方法

目的 根据SEMG的生理和检测过程的实际情况,研究表面肌电信号分解测试信号的仿真方法.方法 从生理层肌电模型出发,以模拟电极随机抖动的方法仿真MUAP波形的随机变异,以改变传导速度的方法模拟MUAP的趋势变异,采用调整MU发放时刻表的方法模拟出特定叠加程度的SEMG信号.结果 同一MU中的不同发放时刻的MUAP波形的随机变异以及MUAP波形的趋势变异都可以通过该方法定量模拟.结论 该方法模拟出的SEMG信号更能逼近真实表面肌电信号的特征,可用于验证SEMG分解算法.

A Method for Synthesizing Surface EMG Signals Based on Physiological EMG Model

Objective To present a series of comprehensive simulating methods by integrating the character, the physiological process, and detection system to generate the synthetic SEMG signal for testing the decomposition algorithms. Method According to the physiological EMG model, the random variability of the shape of motor unit action potential(MUAP) was simulated by simulating random shift of the electrodes,and the trend variability of the shape of MUAP was simulated by changing the conductive velocity.The specific degree of superposition of SEMG signal was simulated by adjusting the fire table of MU. Result The results demonstrated that this method could quantitatively simulate the random variability and the trend variability of the shape of MUAP at different firing moment in the same motor unit action potential trains(MUAPT). Conclusion The simulated SEMG signal based on this method has key characters similar to those of the real SEMG , and it can be used to test the decomposition algorithms.