Design and evaluation of a virtual reality-based balance training program for stroke rehabilitation

Thesis Abstract

Stroke remains a leading cause of disability worldwide, with impaired balance being a predominant factor contributing to limited mobility and increased fall risk among survivors. Conventional balance training methods, though effective, often face challenges related to patient engagement, motivation, and the ability to simulate real-world scenarios. The advent of virtual reality (VR) technology offers novel opportunities to enhance neuroplasticity and rehabilitation outcomes through immersive, interactive, and customizable training environments. This study aims to design, implement, and evaluate a VR-based balance training program tailored for stroke patients to improve postural control and functional mobility. The specific objectives include developing a VR intervention grounded in motor learning principles, assessing its feasibility and acceptability among stroke survivors, and evaluating its efficacy in improving balance compared to standard physiotherapy. Employing a mixed-methods research design, the study first utilizes a qualitative approach to inform the development of the VR program through interviews with clinicians, stroke survivors, and rehabilitation specialists, complemented by a systematic review of existing VR interventions in stroke rehabilitation. Subsequently, a quasi-experimental pretest-posttest control group design will be employed to evaluate the program’s effectiveness. The study population comprises 60 stroke survivors within three to twelve months of onset, recruited from outpatient rehabilitation centers, with participants randomly assigned to either the intervention group (n=30) receiving the VR-based training in addition to standard care, or the control group (n=30) receiving only conventional physiotherapy. Data collection instruments include the Biodex Balance System to objectively assess balance performance, the Functional Independence Measure (FIM) for functional mobility, and structured questionnaires to evaluate user satisfaction, engagement, and perceived usability. Data analysis will involve descriptive statistics to characterize the sample, paired and independent t-tests to compare pre- and post-intervention outcomes within and between groups, and repeated-measures ANOVA to assess temporal changes. Thematic analysis will be applied to qualitative feedback to explore user experiences. The analytical framework integrates the Motor Learning Theory to interpret improvements in balance, emphasizing repetitive, task-specific training within immersive environments. It is anticipated that the VR intervention will lead to statistically significant improvements in balance scores, functional mobility, and user engagement compared to standard therapy alone. Findings are expected to demonstrate that VR-based training enhances motivation and adherence, thereby contributing to better rehabilitation outcomes. The study will fill existing gaps by providing empirical evidence on the practicality, efficacy, and patient perceptions of VR interventions in post-stroke balance rehabilitation, extending current knowledge on technology-assisted neurorehabilitation. This research will contribute to the theoretical understanding of how immersive VR environments influence motor learning and neuroplasticity in stroke recovery. The main conclusion will likely advocate for integrating VR-based balance training into routine clinical practice, emphasizing its potential to augment traditional rehabilitation approaches. Recommendations will include refining VR protocols for broader applicability, exploring long-term effects, and conducting larger randomized controlled trials to establish efficacy. Overall, this study aims to support the adoption of innovative, patient-centered solutions in stroke rehabilitation, ultimately leading to improved functional independence and quality of life for survivors.