A wearable ankle-assisted robot for improving gait function and pattern in stroke patients.

IF 5.2 2区医学 Q1 ENGINEERING, BIOMEDICAL

Journal of NeuroEngineering and Rehabilitation Pub Date : 2025-04-22 DOI:10.1186/s12984-025-01624-w

Su-Hyun Lee, Jinuk Kim, Hwang-Jae Lee, Yun-Hee Kim

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引用次数: 0

Abstract

Background: Hemiplegic gait after a stroke can result in a decreased gait speed and asymmetrical gait pattern. Normal gait patterns and speed are typically the ultimate goals of gait function in stroke rehabilitation. The purpose of this study was to investigate the immediate effects of the Gait Enhancing and Motivating System-Ankle (GEMS-A) on gait function and pattern in stroke patients with hemiplegia.

Methods: A total of 45 eligible participants was recruited for the study. The experimental protocol consisted of overground gait at a comfortable speed under 2 conditions: free gait (FG) without robot assistance and robot-assisted gait (RAG). All measurement data were collected using a 3D motion capture system with 8 infrared cameras and 2 force plates.

Results: Patients in the RAG condition had significantly increased gait speed, cadence, gait symmetry, and peak flexion angle and moment of the paretic ankle joint compared to the FG condition. Moreover, the RAG resulted in higher propulsive forces by altering peak ankle force generation compared with the FG.

Conclusion: The findings of this study provide evidence that a newly developed wearable ankle-assist robot, the GEMS-A, is a potentially useful walking assist device for improving gait function and pattern in stroke patients with hemiplegia.

Trial registration: NCT03767205 (first registration date: 02/12/2018, URL: https://register.

Clinicaltrials: gov ).

查看原文本刊更多论文

一种可穿戴的踝关节辅助机器人，用于改善中风患者的步态功能和模式。

背景：中风后的偏瘫步态可导致步态速度下降和步态模式不对称。正常的步态模式和速度是卒中康复中步态功能的最终目标。本研究的目的是探讨步态增强和激励系统-踝部（GEMS-A）对脑卒中偏瘫患者步态功能和模式的直接影响。方法：本研究共招募了45名符合条件的受试者。实验方案包括在无机器人辅助的自由步态（FG）和机器人辅助步态（RAG）两种情况下以舒适的速度进行地上步态。所有的测量数据都是通过一个带有8个红外摄像机和2个测力板的三维运动捕捉系统收集的。结果：与FG组相比，RAG组患者的步态速度、步频、步态对称性、麻痹性踝关节的峰值屈曲角和力矩明显增加。此外，与FG相比，RAG通过改变踝关节产生的峰值力产生更高的推进力。结论：本研究结果表明，新开发的可穿戴踝关节辅助机器人GEMS-A是一种潜在的有用的步行辅助装置，可改善脑卒中偏瘫患者的步态功能和模式。试验注册：NCT03767205（首次注册日期：02/12/2018，URL: https://register.Clinicaltrials: gov）。

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来源期刊

Journal of NeuroEngineering and Rehabilitation 工程技术-工程：生物医学

CiteScore

9.60

自引率

3.90%

发文量

122

审稿时长

24 months

期刊介绍： Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.