基于肌电图的神经肌肉界面在康复中的应用综述:以肘关节为例

Ran Tao, S. Xie, Yanxin Zhang, J. Pau
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引用次数: 5

摘要

辅助机器人在物理治疗和康复领域为残疾人做出了巨大的贡献。病人和医疗设备之间的接口对病人操作这类机器人起着重要的作用。本文综述了神经肌肉界面的研究现状和发展,重点介绍了新的研究方向,特别是用于界面目的的肌肉骨骼系统建模。本文还总结了使用表面肌电信号作为接口的功能和突出优点。以肘关节为例,研究了人体生物系统和神经肌肉界面的工作步骤。还讨论了进一步的发展,以改进接口以满足医疗需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of EMG-based neuromuscular interfaces for rehabilitation: elbow joint as an example
Assistive robots have made great contributions to disabled people in physiotherapy and rehabilitation areas. The interface between patients and medical devices plays a significant role for patients to operate these kinds of robots. This review introduces the current research and development of neuromuscular interfaces, especially the new research directions with special focus on modelling of musculoskeletal systems for interfacing purposes. The paper also summarises the function and prominent advantage of using surface electromyography (sEMG) signals for the interface. The elbow joint was used as an example to go through the working steps of both human biological systems and neuromuscular interfaces. Further developments were also discussed to improve the interface to meet medical demands.
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