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使用步态训练辅助机器人(GEAR)对脑卒中患者步态模式的影响:一项横断面初步研究。

The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.

机构信息

Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Aichi, Japan.

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.

出版信息

Top Stroke Rehabil. 2020 Mar;27(2):103-109. doi: 10.1080/10749357.2019.1660080. Epub 2019 Sep 4.

DOI:10.1080/10749357.2019.1660080
PMID:31483736
Abstract

: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation movements. However, there are no studies to-date that investigate the effect of the GEAR on gait pattern.: The purpose of this study was to clarify the effect of gait training on gait pattern using the GEAR for rehabilitation in stroke patients.: Fifteen hemiplegic patients who received gait training using the GEAR were recruited (GEAR group). As a control group, hemiplegic patients who did not receive gait training using the GEAR were selected for each patient in the GEAR group from 114 cases in our hospital database. Primary outcomes were index values indicating the degree of 10 abnormal gait patterns. Secondary outcomes were spatiotemporal factors and comfortable overground gait velocity.: Index values for abnormal gait patterns were significantly lower in the GEAR group compared to the control group for insufficient knee flexion during the swing phase, hip hiking, and excessive lateral shift of the trunk over the unaffected-side ( < .05). The comfortable overground gait velocity, stride length, and unaffected-step length in the GEAR group were significantly better than in the control group ( < .05).: Gait training using the GEAR had effects on reducing abnormal gait patterns and improving gait velocity, stride, and unaffected-side step length compared to conventional gait training alone in individuals recovering from stroke-induced hemiplegia.

摘要

: 步态训练辅助机器人(GEAR)被开发出来,以支持中风患者的步态训练。GEAR 可以辅助瘫痪下肢的摆动和站立稳定性,从而使患者能够进行无过度代偿运动的行走练习。然而,目前尚无研究调查 GEAR 对步态模式的影响。: 本研究旨在通过使用 GEAR 对中风患者进行康复来阐明步态训练对步态模式的影响。: 共招募了 15 名使用 GEAR 进行步态训练的偏瘫患者(GEAR 组)。作为对照组,为每个 GEAR 组患者从我院数据库中选择了 114 例中未使用 GEAR 进行步态训练的偏瘫患者。主要结局指标为 10 种异常步态模式的程度指标值。次要结局指标为时空因素和舒适的地面行走速度。: 在 GEAR 组,与对照组相比,在摆动相时膝关节屈曲不足、髋关节抬高和躯干在非瘫痪侧过度横向移位等异常步态模式的指标值明显更低( < 0.05)。GEAR 组的舒适地面行走速度、步长和非瘫痪侧步长明显优于对照组( < 0.05)。: 与传统的单纯步态训练相比,使用 GEAR 进行步态训练可减少异常步态模式,提高中风后偏瘫患者的行走速度、步长和非瘫痪侧步长。

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Influence of gait exercise using a walking-assist robot for swing-leg motion in hemiplegic stroke patients: a preliminary study focusing on the immediate effect.使用步行辅助机器人进行步态训练对偏瘫中风患者摆动腿运动的影响:一项聚焦即时效应的初步研究
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