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KMID : 1012020220110040471
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Physical Therapy Rehabilitation Science
2022 Volume.11 No. 4 p.471 ~ p.477
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Effect of Robot-Assisted Wearable Exoskeleton on Gait Speed of Post-Stroke Patients: A Systematic Review and Meta-Analysis of a Randomized Controlled Trials
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Kim Chan-Kyu
Kim Hyun-Joong
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Abstract
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Objective: The greatest motor impairment after stroke is a decreased ability to walk. Most stroke patients achieve independent gait, but approximately 70% do not reach normal speed, making it difficult to reach a standard of daily living. Therefore, a wearable exoskeleton is recommended for optimal independent gait because different residual disorders hinder motor function after stroke. This review synthesized the effect on gait speed in randomized controlled trials (RCTs) in which gait training using a wearable exoskeleton was performed on post-stroke patients for qualitative and quantitative analysis.
Design: A systematic review and meta-analysis of a randomized controlled trials
Methods: RCTs using wearable exoskeletons in robotic rehabilitation of post-stroke patients were extracted from an international electronic database. For quality assessment and quantitative analysis, RevMan 5.4 was used. Quantitative analysis was calculated as the standardized mean difference (SMD) and presented as a random effect model.
Results: Five studies involving 197 post-stroke patients were included in this review. As a result of the analysis using a random effect model, gait training using a wearable exoskeleton in post-stroke patients showed a significant improvement in gait speed compared to the non-wearing exoskeleton (SMD＝1.15, 95% confidence interval: 0.52 to 1.78).
Conclusions: This study concluded that a wearable exoskeleton was more effective than conventional gait training in improving the gait speed in post-stroke patients.
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KEYWORD
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Robotic exoskeleton, Wearable Technologies, Stroke, Gait speed
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