模型生理参数对表面肌电信号影响的仿真研究

The Influence of Model Physiological Parameters on Surface Electromyography

通过模型研究肌肉生理参数对表面肌电信号的影响。根据肌肉的形态结构和生理特征,从肌电信号的信号源-细胞内动作电位开始,仿真了单肌纤维动作电位,由此合成了运动单位动作电位,再利用运动单位的募集发放模型,进一步仿真了运动单位动作电位序列,并最终完成了对表面肌电信号的仿真。在此基础上研究了极化区域宽度、跨膜电流密度分布和肌肉组织各向异性3个重要的模型生理参数对表面肌电信号统计特征的影响,得到了一些有价值的结果。实验结果表明,仿真肌电信号能够有效表征肌肉电生理变化过程。

To investigate the influence of physiological parameters on surface electromyography（SEMG） signal. Based on the anatomic and physiological features of muscle, the single fiber action potential （SFAP） was simulated from the intracellular action potential atfirst. Then, motor unit action potential （MUAP） was simulated as the summation of contributions from all fibers the motor unit contains. In order to get the firing sequence of motor unit, recruitment and firing strategy were introduced intothe simulation, and motor unit action potential train（MUAPT） was simulated further, SEMG was the summation of MUAPTs generated by active motor units. The influence of three important model physiological parameters in the model, the length of depolarized area, the distribution of transmembrane current density and the anisotropy of muscle on statistical characters of SEMG were investigated, and some useful conclusions were drawn. In conclusion, the simulated SEMG signal can reflect the physiological change process of the musle effectively.