Literature DB >> 33494805

Evaluating the effect of immersive virtual reality technology on gait rehabilitation in stroke patients: a study protocol for a randomized controlled trial.

Huihui Cai1,2, Tao Lin1,2, Lina Chen1, Huidan Weng1, Ruihan Zhu1, Ying Chen3, Guoen Cai4.   

Abstract

BACKGROUND: The high incidence of cerebral apoplexy makes it one of the most important causes of adult disability. Gait disorder is one of the hallmark symptoms in the sequelae of cerebral apoplexy. The recovery of walking ability is critical for improving patients' quality of life. Innovative virtual reality technology has been widely used in post-stroke rehabilitation, whose effectiveness and safety have been widely verified. To date, however, there are few studies evaluating the effect of immersive virtual reality on stroke-related gait rehabilitation. This study outlines the application of immersive VR-assisted rehabilitation for gait rehabilitation of stroke patients for comparative evaluation with traditional rehabilitation.
METHODS: The study describes a prospective, randomized controlled clinical trial. Thirty-six stroke patients will be screened and enrolled as subjects within 1 month of initial stroke and randomized into two groups. The VRT group (n = 18) will receive VR-assisted training (30 min) 5 days/week for 3 weeks. The non-VRT group (n = 18) will receive functional gait rehabilitation training (30 min) 5 days/week for 3 weeks. The primary outcomes and secondary outcomes will be conducted before intervention, 3 weeks after intervention, and 6 months after intervention. The primary outcomes will include time "up & go" test (TUGT). The secondary outcomes will include MMT muscle strength grading standard (MMT), Fugal-Meyer scale (FMA), motor function assessment scale (MAS), improved Barthel index scale (ADL), step with maximum knee angle, total support time, step frequency, step length, pace, and stride length. DISCUSSION: Virtual reality is an innovative technology with broad applications, current and prospective. Immersive VR-assisted rehabilitation in patients with vivid treatment scenarios in the form of virtual games will stimulate patients' interest through active participation. The feedback of VR games can also provide patients with performance awareness and effect feedback, which could be incentivizing. This study may reveal an improved method of stroke rehabilitation which can be helpful for clinical decision-making and future practice. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR1900025375 . Registered on 25 August 2019.

Entities:  

Keywords:  Gait rehabilitation; Immersive virtual reality; Randomized controlled trials; Stroke rehabilitation

Year:  2021        PMID: 33494805      PMCID: PMC7836462          DOI: 10.1186/s13063-021-05031-z

Source DB:  PubMed          Journal:  Trials        ISSN: 1745-6215            Impact factor:   2.279


  40 in total

Review 1.  Virtual reality-based approaches to enable walking for people poststroke.

Authors:  J E Deutsch; A Mirelman
Journal:  Top Stroke Rehabil       Date:  2007 Nov-Dec       Impact factor: 2.119

2.  Muscle strength grading.

Authors:  L Seeder
Journal:  Ann Emerg Med       Date:  1983-06       Impact factor: 5.721

3.  Heartbeat-enhanced immersive virtual reality to treat complex regional pain syndrome.

Authors:  Marco Solcà; Roberta Ronchi; Javier Bello-Ruiz; Thomas Schmidlin; Bruno Herbelin; François Luthi; Michel Konzelmann; Jean-Yves Beaulieu; François Delaquaize; Armin Schnider; Adrian G Guggisberg; Andrea Serino; Olaf Blanke
Journal:  Neurology       Date:  2018-07-06       Impact factor: 9.910

Review 4.  Effect of Virtual Reality Training on Balance and Gait Ability in Patients With Stroke: Systematic Review and Meta-Analysis.

Authors:  Ilona J M de Rooij; Ingrid G L van de Port; Jan-Willem G Meijer
Journal:  Phys Ther       Date:  2016-05-12

Review 5.  Virtual environments for motor rehabilitation: review.

Authors:  Maureen K Holden
Journal:  Cyberpsychol Behav       Date:  2005-06

Review 6.  The fugl-meyer assessment of motor recovery after stroke: a critical review of its measurement properties.

Authors:  David J Gladstone; Cynthia J Danells; Sandra E Black
Journal:  Neurorehabil Neural Repair       Date:  2002-09       Impact factor: 3.919

Review 7.  Applications of virtual environments in medicine.

Authors:  G Riva
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

8.  Psychometric comparisons of 2 versions of the Fugl-Meyer Motor Scale and 2 versions of the Stroke Rehabilitation Assessment of Movement.

Authors:  I-Ping Hsueh; Miao-Ju Hsu; Ching-Fan Sheu; Su Lee; Ching-Lin Hsieh; Jau-Hong Lin
Journal:  Neurorehabil Neural Repair       Date:  2008-07-21       Impact factor: 3.919

9.  Effects of virtual reality immersive training with computerized cognitive training on cognitive function and activities of daily living performance in patients with acute stage stroke: A preliminary randomized controlled trial.

Authors:  Dong-Rae Cho; Sang-Heon Lee
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

10.  The Effects of Virtual Reality Training on Function in Chronic Stroke Patients: A Systematic Review and Meta-Analysis.

Authors:  Han Suk Lee; Yoo Junk Park; Sun Wook Park
Journal:  Biomed Res Int       Date:  2019-06-18       Impact factor: 3.411

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  4 in total

Review 1.  Smartphone App in Stroke Management: A Narrative Updated Review.

Authors:  Adriano Bonura; Francesco Motolese; Fioravante Capone; Gianmarco Iaccarino; Michele Alessiani; Mario Ferrante; Rosalinda Calandrelli; Vincenzo Di Lazzaro; Fabio Pilato
Journal:  J Stroke       Date:  2022-09-30       Impact factor: 8.632

2.  A Virtual Reality Algorithm for the Study of Clinical Efficacy of Sports Injury Rehabilitation Training.

Authors:  Yang Han
Journal:  J Healthc Eng       Date:  2021-09-30       Impact factor: 2.682

3.  Effects of Systemic Rehabilitation Nursing Combined with WeChat Publicity and Education on the Early Cognitive Function and Living Quality of the Patients with Cerebral Arterial Thrombosis.

Authors:  Zheng Jin; Fang Guo; Yan Li
Journal:  J Healthc Eng       Date:  2022-02-24       Impact factor: 2.682

4.  Using Logistic Multivariate Analysis to Explore the Effects of Nursing and Psychological Factors on Motor and Cognitive Rehabilitation in Patients with Stroke: Based on a Retrospective Case-Control Study.

Authors:  Wenxin Lin; Liping Meng; Weimin Lou; Panpan Yang; Min Huang
Journal:  Comput Intell Neurosci       Date:  2022-08-19
  4 in total

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