用于分析肌电图测量反射输出的α运动神经元池模型

P. J. Slot, Thomas Sinkjar, C. Baten, P. Veltink
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引用次数: 0

摘要

模拟了人类比目鱼α运动神经元池的固有特性和表面肌电图。该模型由生成人体比目鱼肌运动单元放电模式的α运动神经元池模型和模拟比目鱼肌表面肌电图的肌肉模型组成。该模型能够定量预测不同兴奋水平下的运动神经元池活动和反射肌电信号输出。模拟结果与实验结果基本一致。模拟结果表明,在静态等距肌肉收缩过程中,反射强度高度依赖于α运动神经元池的固有阈值特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An alpha motoneuron pool model to analyse EMG measured reflex output
The intrinsic properties of the human soleus alpha motoneuron pool and the surface EMG are modelled. The model consists of an alpha motoneuron pool model generating the firing patterns of motor units in a human soleus muscle and a muscle model simulating the soleus surface EMG. The model is able to give a quantitative prediction of the motoneuron pool activity and the reflex EMG output at different excitation levels. The simulated data are consistent with experimentally obtained results. The simulations show that the reflex strength is highly dependent on the intrinsic threshold properties of the alpha motoneuron pool during static isometric muscle contractions.
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