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Modeling of muscle vibration during a twitch

机译:抽搐期间的肌肉振动建模

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摘要

In this study, the vibrating bar theory is used for modeling the muscle vibration, or vibromyographic (VMG) signal under functional electrical stimulation (FES). The simplified movement equation is derived, with the assumption that the muscle is a bar as a fibrous cable and undergoes transverse vibration only. The numerical simulation is performed with the parameters given either from published literature or by rough estimation. The simulation result is compared with that of experiment to test physiological validity of the model. It is found that the the vibrating bar model can well describe the feature of VMG signal elicited by FES. Finally, the relationship between the peak frequencies of the simulated VMG signals and the mechanical and physiological parameters of muscle, such as muscle tension and muscle stiffness, is discussed. It can be concluded that both muscle tension and stiffness affect the frequency of VMG signal and that the peak frequency is sensitive to the resting bending stiffness, E/sub b0/, when E/sub b0/ is in the range from 1.0/spl times/10/sup 4/ N/m/sup 2/ to 1.0/spl times/10/sup 6/ N/m/sup 2/. Therefore VMG signal analysis may be used as a potential tool for predicting muscle fatigue.
机译:在该研究中,振动杆理论用于在功能电刺激(FES)下建模肌肉振动或振动体(VMG)信号。假设肌肉是纤维电缆的杆并仅经历横向振动,因此推导出简化的运动方程。使用发布文献或粗略估计来执行数值模拟。将仿真结果与实验进行比较,以测试模型的生理有效性。发现振动杆模型可以很好地描述FE引起的VMG信号的特征。最后,讨论了模拟VMG信号的峰值频率与肌肉的机械和生理参数之间的关系,例如肌肉张力和肌肉刚度。可以得出结论,肌肉张力和刚度都会影响VMG信号的频率,并且峰值频率对静止弯曲刚度敏感,E / SUB B0 /,当E / SUB B0 /位于1.0 / SPL时的范围内/ 10 / sup 4 / n / m / sup 2 /至1.0 / spl时间/ 10 / sup 6 / n / m / sup 2 /。因此,VMG信号分析可以用作预测肌肉疲劳的潜在工具。

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