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AI-driven Personalized Exercise Feedback Program on Exercise Adherence in Traumatic Brain Injury
Sponsor: National Defense Medical Center, Taiwan
Summary
This study aims to develop and evaluate an AI-driven Personalized Exercise Feedback Program (AI-PEF) to enhance exercise adherence and health outcomes in mTBI patients. Methods: AI-PEF integrates the transtheoretical model and self-determination theory with machine learning algorithms to provide real-time, personalized feedback. A phased randomized controlled trial will be conducted: Phase I evaluates feasibility and acceptability through Delphi methods with expert consensus and patient feedback; Phase II validates preliminary outcomes with 30 participants in a 2-arm randomized trial; and Phase III assesses the program's impact on exercise adherence, exercise motivation, mHealth app usability, functional capacity, sleep quality, depressive symptoms, concussion symptoms, and quality of life with 90 participants in a 3-arm randomized trial. In Phase III, quantitative and qualitative data will be collected in parallel, with qualitative data collected through semi-structured interviews to explore participants' experiences and perceptions of the intervention.
Official title: Effects of an AI-driven Personalized Exercise Feedback Program on Exercise Adherence and Health Outcomes in Patients With Traumatic Brain Injury
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
125
Start Date
2026-08-17
Completion Date
2031-08-31
Last Updated
2026-08-17
Healthy Volunteers
No
Interventions
AI-PEF
Participants will follow a 12-week walking program with at least three 30-minute sessions per week, with exercise intensity progressively adjusted based on heart rate and effort indices. Garmin fitness trackers will monitor exercise adherence and intensity. Remote guidance will be provided through five AI-generated digital health messages per week via LINE, delivered on Monday, Tuesday, Thursday, Friday, and Saturday, and tailored to participants' exercise performance and individualized goals established during the remote exercise intervention and consultation. The messages will include exercise performance feedback, goal setting and reinforcement, exercise and device-use reminders, health education, and encouragement and support. The digital component will allow participants to share their progress and seek guidance during scheduled in-person consultations. AI-driven digital feedback provides a convenient and accessible approach to supporting participants in engaging in exercise.
Theory-based digital exercise
The theory-based digital exercise group will follow the same in-person clinic visits, assessment schedule, and 12-week walking program as the AI-PEF group. Garmin fitness trackers will be used to monitor exercise adherence and intensity. The research team will deliver five standardized digital health messages per week through the LINE app using message templates developed in advance. The messages will include exercise guidance, goal setting and reinforcement, exercise and device-use reminders, health education and lifestyle recommendations, and encouragement and support. The messages will not be generated or tailored by AI, and participants will not receive AI-driven personalized feedback.
Active Control
Participants in the active control group will receive standard TBI care, including routine clinic visits. In addition, Garmin fitness trackers will be provided for self-monitoring during the study. The research team will deliver five standardized general health messages per week through the LINE app. The messages will include TBI-related health education, general health and lifestyle information, general recommendations for daily physical activity, general check-in messages, and technical reminders for Garmin use. The messages will not include structured exercise guidance, individualized goal setting or reinforcement, performance-based feedback, or AI-generated personalized feedback. Participants completing the 6-month protocol will have the option to access the AI-PEF program after the study.