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Updated: Jan 30, 2026

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

通过在肌肉中准准肌肉的感觉运动整合,用机器人辅助手腕/手部康复中电肌图驱动的电振反来进行中风后的感觉运动整合

Legeng Lin^1,2, Yanhuan Huang^1,2, Wanyi Qing^1,2

¹Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China.

Cyborg and bionic systems (Washington, D.C.)

|January 29, 2026

概括

这项研究引入了一种带有电动振动反 (EVF-robot) 的电动肌图 (EMG) 驱动软机器人,以改善中风后的手腕/手掌控. 这种新的系统增强了感官运动集成,导致了显著的运动恢复和持久的功能改善.

科学领域:

神经科学是一个神经科学.
康复工程康复工程
生物医学工程生物医学工程

背景情况:

在中风后恢复精确的手腕/手 (W/H) 运动控制需要通过传感运动集成来解决补偿性神经可塑性.
当前的康复机器人往往无法充分调节对目标肌肉反至关重要的上升体感路径.

研究的目的:

开发和评估一个带有电动振动反 (EVF-robot) 的电动肌图学 (EMG) 驱动软机器人,用于在中风后的W / H肌肉中针对性体感启动.
评估该系统提高慢性中风幸存者的感觉运动集成,运动控制和神经可塑性的能力.

主要方法:

开发一个集聚焦振动刺激,神经肌肉电刺激和EMG驱动的W/H肌肉控制的EVF机器人.
一个单臂试验涉及15名慢性中风参与者,他们接受了20次机器人辅助康复.
评估W / H行为控制,体感反,肌肉间协调和皮质肌肉连贯性在训练前后.

主要成果:

参与者在自愿的W / H控制,体感反和肌肉间协调 (P <0.05) 中显著改善.
皮质活动分析显示,延伸器的皮质肌肉连贯性发生了相反的转变,而屈曲器的连贯性增加了 (P < 0.05).
观察到的改善在3个月的随访中得到持续.

结论:

在EMG驱动的EVF机器人显示初步证据有效调节慢性中风中的补偿性神经可塑性.
这项技术通过增强传感运动集成,促进了远端关节的改进协调运动控制.
EVF机器人提供了一个有前途的方法,用于针对性神经康复的个人慢性中风影响W / H功能.

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Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

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Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand

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