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The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial

步态 平衡(能力) 物理医学与康复 伯格天平 物理疗法 冲程(发动机) 康复 随机对照试验 步态训练 步态分析 心理学 医学 工程类 外科 机械工程
作者
Murat Akıncı,Mustafa Burak,Evren Yaşar,Rabia Tuğba Kılıç
出处
期刊:Gait & Posture [Elsevier]
卷期号:103: 215-222 被引量:1
标识
DOI:10.1016/j.gaitpost.2023.05.013
摘要

Stroke survivors often experience balance and gait problems, which can affect their quality of life and independence in daily living activities. Robot-assisted gait training, such as Lokomat with virtual reality, has been found to be effective in improving gait and balance. However, the specific effects of each virtual reality application on balance and spatiotemporal parameters of gait are not yet established. This study aims to investigate the effects of different virtual reality applications on these parameters.What are the specific effects of each Lokomat augmented performance feedback application on balance and spatiotemporal parameters of gait in stroke survivors?The study is a randomized controlled trial conducted with four groups: Control Group, Endurance Group, Attention and Motivation Group, and Activity Timing Group. All participants received six weeks of physiotherapy, and Lokomat groups had additional robot-assisted gait training with Lokomat for three days a week. The Endurance group used Lokomat with Faster, Attention and Motivation Group with Gabarello and Smile, and Activity Timing Group with Curve Pursuit, Treasures, and High Flyer applications. Various tests were used to assess walking and balance in the study (gait analysis, 6-minute walk test, 10-meter walk test, Berg Balance Scale, postural stability, and limits of stability).The study involved 56 male stroke survivors (mean age: 60.02 ± 6.83 years, post-stroke time: 238.88 ± 40.88 days). All groups improved walking speed and distance significantly, but Endurance was better (p < 0.001). Balance improved significantly in all groups, but Attention and Motivation was superior in Berg Balance Scale, postural stability, and limits of stability (p < 0.001). The selection of virtual reality applications during robot-assisted gait training according to rehabilitation goals is important for successful rehabilitation, as these applications may have varying effects on balance and walking.

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