Development of a Tele-rehabilitation Platform for Post-Stroke Motor Recovery | Blazingprojects Postgraduate Thesis
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Development of a Tele-rehabilitation Platform for Post-Stroke Motor Recovery

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of the Study
  • 1.3Statement of the Problem
  • 1.4Aim and Objectives of the Study
  • 1.5Research Questions
  • 1.6Research Hypotheses
  • 1.7Significance of the Study
  • 1.8Scope and Delimitation of the Study
  • 1.9Limitations of the Study
  • 1.10Organisation of the Study
  • 1.11Operational Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Framework of Tele-rehabilitation in Stroke Recovery
  • 2.2Historical Developments in Tele-rehabilitation Technologies
  • 2.3Theoretical Foundations: Behavior Change Theory and Technology Acceptance Model
  • 2.4Empirical Evidence on Tele-rehabilitation Effectiveness
  • 2.5Technological Components of Tele-rehabilitation Platforms
  • 2.6User Engagement and Motivation in Remote Motor Recovery
  • 2.7Barriers and Facilitators to Tele-rehabilitation Adoption
  • 2.8Patient Outcomes and Quality of Life Post-Stroke
  • 2.9Challenges in Implementing Tele-rehabilitation Systems
  • 2.10Data Security and Privacy Concerns in Tele-rehabilitation
  • 2.11Gaps in Existing Tele-rehabilitation Research
  • 2.12Conceptual Model of Tele-rehabilitation for Post-Stroke Motor Recovery

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design and Approach
  • 3.2Philosophical Paradigm Underpinning the Study
  • 3.3Population and Study Setting
  • 3.4Sample Size Determination and Sampling Technique
  • 3.5Data Collection Instruments and Protocols
  • 3.6Validity and Reliability of Measurement Tools
  • 3.7Data Analysis Techniques and Software
  • 3.8Model Specification and Analytical Framework
  • 3.9Ethical Considerations and Approvals
  • 3.10Procedures for Data Management and Confidentiality

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION OF FINDINGS
  • 4.1Descriptive Statistics of Participant Demographics and Baseline Characteristics
  • 4.2Presentation of Tele-rehabilitation Platform Usage Data
  • 4.3Analysis of Motor Function Outcomes Pre- and Post-Intervention
  • 4.4Hypotheses Testing Results and Statistical Significance
  • 4.5Interpretation of Key Findings in Relation to Existing Literature
  • 4.6Discussion on Technology Acceptance and User Engagement
  • 4.7Limitations Associated with Data and Results Interpretation
  • 4.8Summary of Main Findings and Insights

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Key Findings and Contributions
  • 5.2Conclusions Drawn from the Study
  • 5.3Contributions to Knowledge and Practice
  • 5.4Practical Recommendations for Tele-rehabilitation Deployment
  • 5.5Policy Implications and Stakeholder Engagement
  • 5.6Suggestions for Future Research Directions

Thesis Abstract

Stroke remains a leading cause of long-term motor disability worldwide, with traditional rehabilitation approaches often limited by accessibility, resource constraints, and patient adherence. In response to these challenges, the development of digital health solutions such as tele-rehabilitation platforms presents a promising avenue to enhance post-stroke motor recovery by facilitating remote monitoring, personalized interventions, and continuous engagement. This study aims to develop, validate, and evaluate a comprehensive tele-rehabilitation platform tailored for post-stroke motor rehabilitation, with the specific objectives of designing an interactive user interface, integrating evidence-based therapeutic protocols, and assessing the platform’s effectiveness in improving motor outcomes. Employing a mixed-method research design, the study combines qualitative development processes with quantitative evaluation. The population includes 60 post-stroke patients within six months of stroke onset, recruited from a neurorehabilitation center, and 15 therapists involved in stroke rehabilitation. A stratified random sampling technique was employed to select participants, ensuring a representative sample across age, gender, and severity levels. Data collection instruments consist of semi-structured interviews with therapists to inform platform design, standardized motor assessment scales such as the Fugl-Meyer Assessment (FMA) and Motor Activity Log (MAL) for pre- and post-intervention measurement, and usability questionnaires derived from the System Usability Scale (SUS). The platform's technical development adhered to agile principles, incorporating user-centered design theories, including the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), to guide interface design and adoption strategies. Data analysis encompasses thematic analysis of qualitative inputs to refine platform features, while quantitative data from motor assessments will be analyzed using paired t-tests to evaluate improvements, and multiple regression analysis to identify predictors of rehabilitation success. Usability data will be analyzed using descriptive statistics and inferential tests to determine the platform’s acceptability among users. The study anticipates that the tele-rehabilitation platform will demonstrate significant improvements in motor function (p < 0.01) post-intervention, alongside high usability scores (mean SUS score ? 70), indicating feasibility and acceptability. Furthermore, the platform is expected to facilitate increased therapy adherence and motivation, rooted in self-efficacy theories such as Bandura’s Social Cognitive Theory. This research contributes to the existing body of knowledge by providing a scalable, user-centered tele-rehabilitation solution that leverages ICT to address critical barriers in post-stroke care. It advances theoretical understanding of technology acceptance in neurorehabilitation contexts and empirically evaluates the impact of digital interventions on motor recovery, filling notable gaps identified in prior literature regarding usability, adherence, and outcome measurement. In conclusion, the developed platform has the potential to transform post-stroke rehabilitation practices, promoting greater accessibility, customization, and engagement among patients and clinicians. Recommendations include wider implementation in diverse clinical settings, integration with existing health information systems, and future research exploring long-term outcomes, cost-effectiveness, and integration with emerging technologies such as wearable sensors and artificial intelligence. This study underscores the importance of multidisciplinary approaches combining clinical expertise, user-centered design, and technological innovation to optimize rehabilitation outcomes and enhance quality of life for stroke survivors.

Thesis Overview

This research focuses on creating a digital platform that helps stroke patients recover movement in their arms and legs through remote therapy. After a stroke, many patients experience difficulty moving their limbs, and ongoing rehabilitation is essential for good recovery. However, accessing consistent therapy can be challenging due to shortages of trained therapists, transportation issues, or limitations imposed by the COVID-19 pandemic or other factors. This study aims to address these barriers by developing a tele-rehabilitation platform that patients can use at home, guided by remote supervision from therapists. The research will start by reviewing existing tele-rehabilitation tools and identifying gaps, especially in terms of usability, engagement, and effectiveness for post-stroke motor recovery. The researcher will then design and develop a prototype platform that includes interactive exercises, progress tracking, and communication tools. To test its effectiveness, the study will involve recruiting approximately 100 stroke patients within the local community, who will be randomly divided into an intervention group (using the platform) and a control group (receiving conventional therapy). Data will be collected through standardized motor function assessments, patient satisfaction questionnaires, and platform usage logs over a three-month period. Analytical techniques such as paired t-tests or analysis of covariance (ANCOVA) will be used to compare motor recovery outcomes between groups, while thematic analysis will interpret qualitative feedback from participants. The study aims to demonstrate that the tele-rehabilitation platform can deliver comparable or better improvements in motor function than traditional therapy, while also increasing patient engagement and accessibility. The contribution of this research is in advancing knowledge about the feasibility and effectiveness of technology-based rehabilitation solutions for stroke recovery. It will provide insights into best practices for designing user-friendly tele-rehab platforms and evidence of their potential to supplement or replace standard in-clinic therapy. The expected outcome is a validated, scalable tele-rehabilitation tool that can improve recovery outcomes, especially for patients in remote or resource-limited settings, and recommendations for integrating such technology into mainstream stroke care pathways.

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