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Motion tracking virtual reality technology in improving gait in the elderly: A randomized controlled trial.
- Source :
-
Clinical Rehabilitation . Apr2024, Vol. 38 Issue 4, p520-529. 10p. - Publication Year :
- 2024
-
Abstract
- Objective: This study aimed to assess the effectiveness of virtual reality-based treadmill training on gait performance and tolerance in the elderly. Design: Two-armed randomized controlled trial. Setting: The Medical Rehabilitation Sciences Department, Umm Al Qura University, Saudi Arabia. Participants: Sixty Saudi elderly of both sexes, aged 65–75 years, were included. Interventions: Participants were divided into two groups. The control group received treadmill training without virtual reality, alongside a conventional exercise program. The experimental group received a training program that was similar to the control group's exercises but with C-Mill virtual reality treadmill training. The program lasted one hour, three times per week, over four consecutive weeks. Main Measures: The study assessed changes in outcome measures at baseline, Post-1 (after four weeks of training), and Post-2 (four weeks post-training). These measures encompassed the primary outcome, the 6-minute walk test (meter), as well as secondary outcomes such as stride length (meter), stride time (second), cadence (steps/minute), and velocity (meter/second). These parameters were evaluated using the GaitRite electronic gait analysis walkway. Results: The experimental group showed better improvement in the mean values of the 6-minute walk test, stride length, stride time, cadence, and velocity compared to the control group at post-1 and post-2. The P -values were respectively at post-1 (0.019, 0.015, 0.041, 0.013, and 0.021) and (0.011, 0.025, 0.073, 0.061, and 0.017) at post-2 (all, P <.05). Conclusions: C-Mill virtual reality treadmill training shows potential in improving gait parameters and walking tolerance in the elderly in Saudi Arabia. [ABSTRACT FROM AUTHOR]
- Subjects :
- *EXERCISE tolerance
*SAMPLE size (Statistics)
*ANALYSIS of variance
*VIRTUAL reality
*GAIT in humans
*MULTIVARIATE analysis
*MEDICAL technology
*BODY-weight-supported treadmill training
*TREATMENT effectiveness
*RANDOMIZED controlled trials
*RESEARCH funding
*MOTION capture (Human mechanics)
*BIOMECHANICS
*STATISTICAL sampling
*DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 02692155
- Volume :
- 38
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Clinical Rehabilitation
- Publication Type :
- Academic Journal
- Accession number :
- 175700998
- Full Text :
- https://doi.org/10.1177/02692155231217468