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Stiffness change of ankle joint during different activations of tibialis anterior muscle

机译:胫骨前肌不同激活过程中踝关节的刚度变化

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Impedance control plays an important role in the control of human-machine control system, especially in rehabilitation devices. It is essential to estimate patient's limb stiffness to adjust the impedance parameters of controller. A large number of studies showed that muscle co-contraction would influence the limb stiffness. This study aimed to investigate the change of ankle joint stiffness using only tibialis anterior electromyography (EMG) during different activations of tibialis anterior. Four young subjects were recruited to keep the activation of tibialis anterior at four ranges (0~10%, 10~20%, 20~30%, 30~40%) with a PD-controlled ankle exoskeleton system, as well as minimize the activation of gastrocnemius as much as possible. An EMG-driven Hill-type neuro-musculoskeletal model was used to predict the torque of tibialis anterior. Moving Window Multiple Linear Regression (MWMLR) was applied to calculate the stiffness coefficient of the ankle joint with or without considering the variation of the torque of tibialis anterior. The results showed that the variance of estimated stiffness was smaller without considering the variation of muscle torque. And a significant relationship between the activation of tibialis anterior and the stiffness coefficient of the ankle joint was found.
机译:阻抗控制在人机控制系统的控制中起着重要作用,尤其是在康复设备中。估计患者的肢体刚度以调整控制器的阻抗参数至关重要。大量研究表明,肌肉共收缩会影响四肢的僵硬。这项研究旨在调查胫骨前肌不同激活过程中仅使用胫骨前肌电图(EMG)进行的踝关节刚度的变化。招募了四名年轻受试者,以PD控制的踝关节外骨骼系统将胫骨前部的激活保持在四个范围(0〜10%,10〜20%,20〜30%,30〜40%),并尽量减少尽可能激活腓肠肌。使用肌电图驱动的希尔型神经肌肉骨骼模型来预测胫前肌的扭矩。应用移动窗多元线性回归(MWMLR)来计算踝关节的刚度系数,无论是否考虑胫骨前部扭矩的变化。结果表明,在不考虑肌肉扭矩变化的情况下,估计刚度的变化较小。并且发现胫骨前部的激活与踝关节的刚度系数之间存在显着的关系。

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