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Effect of Pelvic Movement on Healthy Subjects During Gait Training Using a Gait Rehabilitation System

机译:使用步态康复系统进行的步态训练期间骨盆运动对健康受试者的影响

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Rapidly aging society faces with increases in neurological disorders including stroke. Hemiplegia, which is one of the common sequelae due to stroke, causes difficulties in activities of daily living. As the number of stroke patients grows, demands for gait training increases, where robotic gait training systems are necessary. A robotic gait training system, called “COWALK-I,” is designed to provide pelvic motion on the transverse plane as well as leg motions in the sagittal plane during gait training sessions. The pelvic motion allows weight-shifting as well as more natural gait patterns during gait training. In this research, effect of the pelvic motion during waking in the COWALK-I system is studied. Interaction force between the healthy subjects and the COWALK-I and electromyography(EMG) sensor data are measured. The average interaction forces did not show significant difference while each subject exhibited diverse patterns. The EMG signals shows that more activation of rectus femoris and less activation of gastrocnemius and gluteus medius.
机译:快速老龄化的社会面临着包括中风在内的神经系统疾病的增加。偏瘫是中风引起的常见后遗症之一,在日常生活中造成困难。随着中风患者数量的增加,对步态训练的需求也增加了,这需要机器人的步态训练系统。一种名为“ COWALK-I”的机器人步态训练系统旨在在步态训练期间在横断面上提供骨盆运动以及在矢状面上提供腿部运动。在步态训练过程中,骨盆运动允许体重转移以及更自然的步态模式。在这项研究中,研究了在COWALK-I系统中唤醒过程中骨盆运动的影响。测量健康受试者与COWALK-I和肌电图(EMG)传感器数据之间的相互作用力。当每个受试者表现出不同的模式时,平均相互作用力没有显示出显着差异。 EMG信号显示股直肌的激活更多,腓肠肌和臀小肌的激活较少。

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