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EMG-Based Neuromuscular Modeling with Full Physiological Dynamics and Its Comparison with Modified Hill Model

机译:基于EMG的神经肌肉建模,具有全部生理动态及其与改进山模型的比较

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EMG-based muscle model has many applications in human-machine interface and rehabilitation robotics. For the muscular force estimation, so-called Hill-type model has been used in most of the cases. It has already shown its promising performance, however it is known as a phenomenological model considering only macroscopic physiology. In this paper, we discuss EMG-force estimation with the full physiology based muscle model in voluntary contraction. In addition to Hill macroscopic representation, a microscopic physiology description as stated by Huxley and Zahalak is integrated. It has significant meaning to realize the same kind of EMG-force estimation with multiscale physiology based model not with a phenomenological Hill model, because it brings the understanding of the internal biophysical dynamics and new insights about neuromuscular activations.
机译:基于EMG的肌肉模型在人机界面和康复机器人中具有许多应用。对于肌肉力估计,在大多数情况下已经使用所谓的山型模型。它已经表明了其有希望的性能,但它被称为仅考虑宏观生理学的现象学模型。在本文中,我们讨论了与自愿收缩中全生理学肌肉模型的Emg-Force估算。除了山坡宏观表示外,荷兰和Zahalak所述的微观生理学描述是集成的。它具有重要意义,实现了与多尺度生理学的模型不具有现象学山模型的相同的EMG-Force估计,因为它带来了对内部生物物理动态的理解和对神经肌肉激活的新见解。

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