Robotic-Assisted Rehabilitation After Stroke: A Systematic Review
Code: G-1889
Authors: Elnaz Bornasi ℗, Azar Jeihooni Kalhori, Somayeh Paydar *
Schedule: Not Scheduled!
Tag: Robotics in Surgery and Care
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Abstract:
Abstract
Background and aims: Stroke remains a major global cause of long-term disability, often resulting in persistent motor deficits that significantly affect patients' quality of life. Over the past decade, robotic-assisted rehabilitation has garnered increasing attention as a promising method to deliver high-intensity, repetitive, and task-specific therapy key components for enhancing neuroplasticity and functional recovery. The aim of this systematic review is to investigate the effects of robotic-assisted rehabilitation after stroke. Method: A systematic review was conducted on studies published between 2015 and 2024, investigating the use of robotic devices in post-stroke rehabilitation. Databases including PubMed, Scopus, Web of Science, and Google Scholar were thoroughly searched. Included studies involved adult stroke patients undergoing upper or lower limb rehabilitation using robotic systems, with outcomes focusing on motor recovery, usability, or patient satisfaction. Results: A total of 39 studies met the inclusion criteria. Among these, 84.6% reported significant improvements in motor function following robotic-assisted rehabilitation, particularly in upper limb recovery. Approximately 71.8% emphasized the benefits of high-intensity, repetitive training in promoting neuroplasticity and functional gains. In 61.5% of the studies, patients demonstrated improved coordination, strength, and movement precision compared to conventional therapy alone. Real-time feedback and interactive interfaces were identified as key motivators in 66.7% of the trials, contributing to increased patient adherence and engagement. Furthermore, 43.6% highlighted the value of personalized therapy intensity and objective progress tracking. Notably, in 53.8% of studies, combined approaches (robotic + conventional physiotherapy) yielded superior outcomes relative to standalone therapies. Conclusion: Robotic-assisted rehabilitation has evolved from a theoretical concept to a viable component of neurorehabilitation. While evidence for its effectiveness is promising, its widespread adoption will depend on addressing challenges related to clinical efficacy, accessibility, cost, and integration into routine healthcare practices. Future research should prioritize long-term outcomes, refine user-centered design approaches, and explore ways to enhance system acceptance and usability in rehabilitation settings.
Keywords
Stroke, Robotics, Rehabilitation
