一种基于动力外骨骼和数字孪生的病人步态实时监测方法

Wei Huanxia
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引用次数: 0

摘要

动力外骨骼是一种附着在肢体外部的可穿戴机器人系统,为肢体提供额外的力量,在肢体康复和患者辅助中起着重要的作用。随着病人逐渐康复,病人的步态会随着时间的推移而改变。因此,作者希望能够获得患者的实时步态数据,以便为患者提供医疗指导,帮助患者更好地康复。受工业机器人实时监测的启发,作者提出了一种将数字孪生体应用于动力外骨骼的医疗监测方法。出于成本原因,作者使用市售传感器来构建该系统。为了实现这一目标,作者制作了一个外骨骼演示系统,并对数据进行了收集和分析。
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A method for patient gait real-time monitoring based on powered exoskeleton and digital twin
Powered exoskeletons are a kind of wearable robotics system attached outside the limbs, providing additional force for the limbs, which plays an important role in limb rehabilitation and patient assistance. As the patient gradually recovers, the patient’s gait will change over time. Therefore, the author hopes to get real-time gait data from patients in order to provide medical guidance and help the patients recover better. Inspired by the real-time monitoring of industrial robots, the author puts forward a method of medical monitoring using digital twin onto powered exoskeletons. For cost reasons, the author uses commercially available sensors to build this system. Further, the author fabricates a demonstration system for the exoskeleton to achieve this goal together with collecting and analyzing the data.
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