Effects of Virtual Reality Treadmill Training on Community Balance Confidence and Gait in People Post-Stroke: a randomized controlled trial

物理医学与康复 平衡(能力) 步态 冲程(发动机) 随机对照试验 虚拟现实 单调的工作 物理疗法 心理学 医学 计算机科学 人工智能 工程类 机械工程 外科
作者
Nara Kim,Byoung Hee Lee,Yumi Kim,Won-Kyu Min
出处
期刊:Journal of experimental stroke & translational medicine [OMICS Publishing Group]
卷期号:09 (01) 被引量:20
标识
DOI:10.4172/1939-067x.1000145
摘要

Background: This study investigated therapeutic effects of virtual reality (VR) treadmill training has a positive influence on community balance confidence, and gait ability in patients with stroke. Methods: This was a hospital-based, randomized controlled trial with a blinded assessor. 27 participants with a first-time stroke were randomly allocated to 1 of 3 groups: VR treadmill training based community ambulation group (VRCA group, n=10), Community Ambulation training group (CA group, n=10), and control group (n=7). Group assignment were placed in envelopes and sealed. Each individual who agree to enter the study randomly selected an envelope with the group assignment enclosed. VRCA group received community based VR on treadmill training. CA group received community based ambulation training. All participants included control group were offered physical therapy. Measurements of balance confidence and gait ability were performed. Results: The results showed that repeated-measures ANOVA revealed significant differences on time effect and time-by-group interaction among groups on TUG, ABC, and 6MWT. ANOVA showed a significant difference in each group about time (Pre-posttest) in gait velocity, cadence, paretic step length and paretic stride length (p< 001), and there was no significant difference on time-by-group interaction. Conclusion: These results suggest that VR treadmill training based community ambulation and CA training are feasible and beneficial for improvement of community ambulation in poor community ambulatory with stroke.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
3秒前
6秒前
小马甲应助冷静映寒采纳,获得10
6秒前
明亮的嚣完成签到,获得积分10
7秒前
putaoyou34发布了新的文献求助20
8秒前
深情安青应助典雅的悟空采纳,获得10
8秒前
英俊的铭应助1035646426采纳,获得10
8秒前
10秒前
英姑应助请叫我过儿采纳,获得10
10秒前
xxlhp完成签到,获得积分10
11秒前
仇晓煜发布了新的文献求助10
12秒前
槿言完成签到 ,获得积分10
12秒前
13秒前
Fe发布了新的文献求助10
14秒前
14秒前
15秒前
沉舟发布了新的文献求助10
15秒前
16秒前
19秒前
20秒前
21秒前
21秒前
莫白完成签到,获得积分10
22秒前
22秒前
Moonpie完成签到,获得积分0
23秒前
molihuakai应助cqnusq采纳,获得10
24秒前
24秒前
ding应助活力的母鸡采纳,获得10
24秒前
KK发布了新的文献求助10
25秒前
kuiuLinvk完成签到,获得积分10
25秒前
25秒前
科研通AI6.2应助简单千琴采纳,获得10
26秒前
无私迎海发布了新的文献求助10
26秒前
27秒前
27秒前
喵典娜完成签到,获得积分10
27秒前
Fe完成签到,获得积分10
28秒前
落后雁菱完成签到 ,获得积分10
28秒前
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7336204
求助须知:如何正确求助?哪些是违规求助? 8950050
关于积分的说明 18992480
捐赠科研通 6989626
什么是DOI,文献DOI怎么找? 3217808
关于科研通互助平台的介绍 2383861
邀请新用户注册赠送积分活动 2197876