Study on resistance training for upper-limb rehabilitation using an exoskeleton device

Zhibin Song, Zhenyu Wang, Shuxiang Guo, Baofeng Gao
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引用次数: 4

Abstract

Rehabilitation robotics has received more and more attention during the last decades, especially the exoskeleton device for the upper limb rehabilitation, but most of them are heavy and large. In our study, a light and wearable exoskeleton device was proposed, which can be used in home rehabilitation and it can also be used to implement passive and active training. In this paper, we proposed to perform the active rehabilitation based on the upper limb exoskeleton rehabilitation device (ULERD) with variable stiffness elastic actuators, which improves the safety for human-robot interaction and produces adjustable stiffness capacity and resistance training to meet the demand for safe active-passive elbow rehabilitation. It provides a wide approach for human machine interface (HMI) in which the device is non-backdrivable, and at the same time it is difficult to obtain the contact force information directly. The proposed method was verified by the experiments conducted under two conditions with passive DoFs unlocked and with passive DoFs locked during elbow flexion and extension performance. Each experiment has three level resistances provided to the user. The surface electromyography (sEMG) signals derived from biceps and triceps were used to evaluate the efficacy of this method in both experiments.
利用外骨骼装置进行上肢康复阻力训练的研究
近几十年来,康复机器人技术得到了越来越多的关注,尤其是用于上肢康复的外骨骼装置,但它们大多体积庞大。在我们的研究中,我们提出了一种轻便的可穿戴外骨骼装置,它可以用于家庭康复,也可以用于被动和主动训练。本文提出基于可变刚度弹性作动器的上肢外骨骼康复装置(ULERD)进行主动康复,提高人机交互的安全性,并产生可调节的刚度能力和阻力训练,满足肘关节主动被动康复的安全需求。它为非反向驱动的人机界面(HMI)提供了广泛的途径,同时难以直接获取接触力信息。通过在肘关节屈伸过程中被动自由度解锁和被动自由度锁定两种情况下的实验验证了所提方法的有效性。每个实验都有三个级别的电阻提供给用户。在这两个实验中,我们用来自肱二头肌和肱三头肌的表面肌电图(sEMG)信号来评估该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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