van Zandwijk J P, Bobbert M F, Harlaar J
Institute for Fundamental and Clinical Human Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands.
J Biomech Eng. 2000 Aug;122(4):380-6. doi: 10.1115/1.1286562.
In order to assess the significance of the dynamics of neural control signals for the rise time of muscle moment, simulations of isometric and dynamic plantar flexion contractions were performed using electromyographic signals (EMG signals) of m. triceps surae as input. When excitation dynamics of the muscle model was optimized for an M-wave of the medial head of m. gastrocnemius (GM), the model was able to make reasonable predictions of the rise time of muscle moment during voluntary isometric plantar flexion contractions on the basis of voluntary GM EMG signals. The rise time of muscle moment in the model was for the greater part determined by the amplitude of the first EMG burst. For dynamic jumplike movements of the ankle joint, however, no relationship between rise time of muscle moment in the experiment and muscle moment predicted by the model on the basis of GM EMG signals was found. Since rise time of muscle moment varied over a small range for this movement, it cannot be completely excluded that stimulation dynamics plays a role in control of these simple single-joint movements.
为了评估神经控制信号动态变化对肌肉力矩上升时间的重要性，利用腓肠肌内侧头肌电肌图信号（EMG信号）作为输入，对等长和动态跖屈收缩进行了模拟。当肌肉模型的兴奋动态针对腓肠肌内侧头肌（GM）的M波进行优化时，该模型能够基于自愿GM EMG信号，对自愿等长跖屈收缩期间肌肉力矩的上升时间做出合理预测。模型中肌肉力矩的上升时间在很大程度上由第一个EMG爆发的幅度决定。然而，对于踝关节的动态跳跃样运动，在实验中肌肉力矩的上升时间与基于GM EMG信号的模型预测的肌肉力矩之间未发现相关性。由于该运动中肌肉力矩的上升时间在小范围内变化，因此不能完全排除刺激动态在控制这些简单单关节运动中发挥作用。
