Suppr超能文献

一种用于改善中风患者步态功能和模式的可穿戴脚踝辅助机器人。

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

作者信息

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

机构信息

Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.

Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, 16419, Republic of Korea.

出版信息

J Neuroeng Rehabil. 2025 Apr 22;22(1):89. doi: 10.1186/s12984-025-01624-w.

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 ).

摘要

背景

中风后的偏瘫步态会导致步速下降和步态模式不对称。正常的步态模式和速度通常是中风康复中步态功能的最终目标。本研究的目的是调查步态增强与激励系统-脚踝(GEMS-A)对偏瘫中风患者步态功能和模式的即时影响。

方法

共招募了45名符合条件的参与者进行该研究。实验方案包括在两种条件下以舒适速度进行的地面步态:无机器人辅助的自由步态(FG)和机器人辅助步态(RAG)。所有测量数据均使用带有8个红外摄像头和2个测力板的3D运动捕捉系统收集。

结果

与FG条件相比,RAG条件下的患者步态速度、步频、步态对称性以及患侧踝关节的峰值屈曲角度和力矩均显著增加。此外,与FG相比,RAG通过改变踝关节峰值力的产生而产生了更高的推进力。

结论

本研究结果提供了证据,表明新开发的可穿戴式脚踝辅助机器人GEMS-A是一种潜在有用的步行辅助设备,可改善偏瘫中风患者的步态功能和模式。

试验注册

NCT03767205(首次注册日期:2018年12月2日,网址:https://register.CLINICALTRIALS:gov)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0cd/12016096/8c1cb6e70516/12984_2025_1624_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验