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Identification of Spring Coefficient for Heel Rocker Function Support Based on Estimated Dorsiflexion Torque

机译:基于估计的背离扭矩的鞋跟摇杆功能支持的弹簧系数识别

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In previous research, we have developed a high-dorsiflexion assistive robotic technology aiming for gait rehabilitation targeting on ankle dorsiflexion movement. A McKibben-type artificial muscle is applied to provide large dorsiflexion force while adding little weight to the device. This ensures the foot clearance before initial stance phase in gait. Meanwhile, a tension spring is deployed in series with the artificial muscle to support heel rocker function in loading response phase. Suitable spring coefficient for each individual differs according to ankle's dorsiflexion torque in loading response. An unsuitable spring would lead to knee deviation in this phase. In this study, we derived an identification equation to determine a suitable spring coefficient for individuals based on estimation of dorsiflexion torque required to support. An evaluation test on healthy objects was conducted, which shows no negative effects on participants' knee angles with the identified spring coefficient.
机译:在以前的研究中,我们开发了一种高背离辅助机器人技术,旨在用于瞄准脚踝背屈运动的步态康复。麦克宾型人工肌肉被施加以提供大的背屈力,同时增加了对装置的重量。这确保了步态初始立场相位前的脚部。同时,张力弹簧与人工肌肉串联部署,以支持装载响应阶段的高跟摇杆功能。适用于每个单独的弹簧系数根据脚踝的背积扭矩在装载响应中而不同。不合适的弹簧将导致膝关节偏差。在该研究中,我们衍生了一种识别方程,以确定基于所需的背离扭矩的个体的适当弹簧系数。进行了对健康物体的评估测试,其对参与者的膝关节与鉴定的弹簧系数没有负面影响。

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