Effects of Virtual Reality-Assisted and Overground Gait Adaptation Training on Balance and Walking Ability in Stroke Patients

被引:2
作者
Wang, Xinyuan [1 ,2 ]
Qiu, Jifang [1 ]
Zhou, Yuda [1 ]
Liu, Wenbing [1 ]
Zhang, Shuijing [1 ]
Gong, Yichen [1 ]
Jiang, Wei [1 ]
Fang, Linjie [1 ]
Ji, Changmeng [1 ]
Yao, Xin [1 ]
Wang, Weiqiang [1 ]
Xu, Sihui [1 ]
Lu, Zhouzhou [1 ]
Ding, Yong [1 ]
机构
[1] Zhejiang Chinese Med Univ, Affiliated Rehabil Hosp, Zhejiang Rehabil Med Ctr, 2828 Binsheng Rd, Hangzhou 310052, Zhejiang, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Hangzhou, Peoples R China
关键词
Stroke; Virtual Reality Training; Balance; Walking; DYNAMIC BALANCE; PEOPLE;
D O I
10.1097/PHM.0000000000002374
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objective: This study compared the effects of virtual reality-assisted gait adaptation training with the overground gait adaptation training on balance and walking in patients with stroke. Methods: Fifty-four eligible patients were enrolled. All patients were randomly divided into a virtual reality and control group, with 27 patients in each group. The virtual reality group received virtual reality-assisted training on the treadmill, whereas the control group received overground training in a physical therapy room. After the intervention, patients were assessed using walking speed, obstacle avoidance ability, Timed Up and Go test, postural stability, and the Barthel Index. Results: Significant improvements in walking speed, obstacle avoidance ability, Timed Up and Go test, and eye-opening center of pressure speed were observed after the intervention (P < 0.05). No statistically significant differences were found in eye-closing center of pressure speed, tandem center of pressure speed, single-leg center of pressure speed, and Barthel Index (P > 0.05). Conclusions: Stroke patients may benefit from virtual reality-assisted gait adaptation training in improving walking and static balance function and reducing the risk of falls.
引用
收藏
页码:480 / 487
页数:8
相关论文
共 29 条
  • [1] Backward Locomotor Treadmill Training Differentially Improves Walking Performance across Stroke Walking Impairment Levels
    Awosika, Oluwole O.
    Chan, Dorothy
    Sucharew, Heidi J.
    Boyne, Pierce
    Bhattacharya, Amit
    Dunning, Kari
    Kissela, Brett M.
    [J]. BRAIN SCIENCES, 2022, 12 (02)
  • [2] IMproving Physical ACtivity after stroke via Treadmill training (IMPACT) and self-management: A randomized trial
    Brauer, Sandra G.
    Kuys, Suzanne S.
    Ada, Louise
    Paratz, Jennifer D.
    [J]. INTERNATIONAL JOURNAL OF STROKE, 2022, 17 (10) : 1137 - 1144
  • [3] Chinese academy of neurology C., 2017, CHIN J NEUROL, V50, P168, DOI DOI 10.3760/CMA.J.ISSN.1006-7876.2017.03.003
  • [4] Effects of virtual reality-based motor rehabilitation: a systematic review of fMRI studies
    Feitosa, Jamille A.
    Fernandes, Corina A.
    Casseb, Raphael F.
    Castellano, Gabriela
    [J]. JOURNAL OF NEURAL ENGINEERING, 2022, 19 (01)
  • [5] Effects of Immersive and Non-Immersive Virtual Reality on the Static and Dynamic Balance of Stroke Patients: A Systematic Review and Meta-Analysis
    Garay-Sanchez, Aitor
    Suarez-Serrano, Carmen
    Ferrando-Margeli, Mercedes
    Jesus Jimenez-Rejano, Jose
    Marcen-Roman, Yolanda
    [J]. JOURNAL OF CLINICAL MEDICINE, 2021, 10 (19)
  • [6] Virtual and augmented reality in the vestibular rehabilitation of peripheral vestibular disorders: systematic review and meta-analysis
    Heffernan, Austin
    Abdelmalek, Mohammed
    Nunez, Desmond A.
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [7] Khiabani RR, 2017, STROKE RES TREAT, V2017, DOI 10.1155/2017/6153714
  • [8] Virtual reality for stroke rehabilitation
    Laver, Kate E.
    George, Stacey
    Thomas, Susie
    Deutsch, Judith E.
    Crotty, Maria
    [J]. COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2011, (09):
  • [9] Effects of virtual reality rehabilitation training on gait and balance in patients with Parkinson's disease: A systematic review
    Lei, Cheng
    Sunzi, Kejimu
    Dai, Fengling
    Liu, Xiaoqin
    Wang, Yanfen
    Zhang, Baolu
    He, Lin
    Ju, Mei
    [J]. PLOS ONE, 2019, 14 (11):
  • [10] Levin MF, 2020, EXPERT REV NEUROTHER, V20, P195, DOI [10.1007/978-3-030-64455-0_1, 10.1080/14737175.2020.1727741]