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Implementation of various control algorithms for hand rehabilitation exercise using wearable robotic hand

机译:使用可穿戴机器人手工康复运动的各种控制算法的实现

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摘要

In this paper, the control algorithms for strength exercise using wearable robotic hand are reviewed and the experimental results are analyzed and discussed. The SNU Exo-Glove is a soft exoskeleton that actuates motor function in disabled hands. This new type of device comprises a jointless simple mechanical structure and is actuated with wires. The strength exercise algorithms include isotonic, isokinetic, and impedance control exercises. An electromyography (EMG) regulation algorithm is proposed to limit the maximum level of activation of the muscles to prevent injury of the muscles and joints. The tension of the wire and the sEMG signal are analyzed to validate the effectiveness of rehabilitation with SNU Exo-Glove.
机译:本文综述了使用可穿戴机器人手的强度锻炼的控制算法,分析并讨论了实验结果。 SNU EXO-GLOVE是一种柔软的外骨骼,可致力于残疾人手中的电机功能。 这种新型设备包括无缝简单的机械结构,并用电线致动。 强度运动算法包括等渗,等渗和阻抗控制练习。 建议肌电图(EMG)调节算法限制肌肉的最大激活水平,以防止肌肉和关节损伤。 分析了电线和SEMG信号的张力以验证康复exo-手套的康复的有效性。

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