Effects of Virtual Reality-Based Rehabilitation on Post-Stroke Motor Recovery

Thesis Abstract

Post-stroke motor impairment remains a significant challenge in neurorehabilitation, often resulting in long-term disability and reduced quality of life. Conventional rehabilitation methods, while beneficial, are sometimes limited by patient engagement levels and resource constraints, prompting exploration into innovative approaches such as virtual reality (VR)-based interventions. This study aims to empirically evaluate the effects of VR-based rehabilitation on motor recovery in post-stroke patients, with a primary focus on assessing motor function improvements, patient engagement, and overall rehabilitation outcomes. The specific objectives are to compare motor recovery trajectories between patients receiving VR-based therapy and those undergoing traditional therapy, to examine the relationship between patient engagement levels and motor outcomes, and to identify potential predictors of rehabilitation success within VR interventions. A quantitative, randomized controlled trial (RCT) design was adopted to ensure rigorous assessment of causality. The study was conducted in two tertiary rehabilitation centers, involving a sample of 120 post-stroke patients within six months of onset, aged between 40 and 75 years. Participants were randomly assigned to either the experimental group (VR-based rehabilitation) or the control group (conventional therapy), with 60 participants in each arm. Data collection employed standardized instruments, including the Fugl-Meyer Motor Scale (FMA) for motor function assessment, the Patient Engagement Scale (PES) for engagement measurement, and supplementary demographic and clinical data forms. The VR intervention incorporated immersive systems utilizing the VividVR platform, tailored to individual motor deficits, administered over 12 weeks with thrice-weekly 45-minute sessions. Data analysis involved descriptive statistics to profile the sample, inferential statistics such as repeated-measures ANOVA to compare motor improvement over time between groups, and multiple regression analysis to identify predictors of motor recovery. Effect sizes were calculated to quantify the magnitude of observed differences. The analysis also integrated thematic analysis of patient feedback to contextualize engagement data and refine intervention strategies. Expected findings suggest that patients receiving VR-based rehabilitation will demonstrate statistically significant greater improvements in motor function, reflected by higher FMA scores post-intervention, compared to their counterparts in conventional therapy. Increased engagement levels are anticipated to positively correlate with motor recovery outcomes, supporting the hypothesis that immersive VR enhances motivation and participation in therapy. Furthermore, baseline clinical characteristics and engagement levels are expected to emerge as significant predictors of rehabilitation success within the VR context. This study contributes to the existing body of knowledge by providing empirical evidence on the efficacy of VR technology in neurorehabilitation, specifically concerning motor recovery post-stroke. It advances understanding of motivational mechanisms facilitated by immersive systems and informs best practices for integrating VR into routine stroke rehabilitation. The findings are expected to inform clinicians, policymakers, and rehabilitation practitioners about the potential benefits and optimal implementation strategies of VR interventions, thereby promoting more engaging, efficient, and patient-centered recovery processes. In conclusion, the research underscores the potential of virtual reality to augment traditional stroke rehabilitation paradigms, with significant implications for enhancing functional outcomes and patient experiences. Recommendations include adopting VR-based modules in clinical practice, training therapists in immersive technology application, and further research exploring long-term sustainability of gains and cost-effectiveness analyses. Future studies should consider larger, multicenter trials and explore individualized customization of VR environments to maximize therapeutic benefits.