AI-driven Personalized Exercise Feedback Program on Exercise Adherence in Traumatic Brain Injury
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-PEF, Theory-based digital exercise, Active Control.
- Who it may be relevant to
- Registry conditions: Traumatic Brain Injury, Exercise, AI (Artificial Intelligence), Digital Health. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Effects of an AI-driven Personalized Exercise Feedback Program on Exercise Adherence and Health Outcomes in Patients with Traumatic Brain Injury
Overview
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 adherence, sleep quality, depressive symptoms, and quality of life with 90 participants in a 3-arm randomized trial.
Detailed description
The study will employ a stepwise, multi-phase design, combining a two- parallel-group pilot study and a three-arm randomized controlled trial (RCT) to evaluate the appropriateness, feasibility, acceptability, and effectiveness of the AI-PEF (Figure 5). Participants will be recruited from the neurosurgery clinics at Tri-Service General Hospital, Taipei. Recruitment will be facilitated through referrals by attending physicians and registered nurses, who will be briefed on the study protocol.
Study procedures
1. Phase I (Year 1): Development and Pilot Testing (Aim 1) Phase I will focus on developing and refining the AI-PEF through expert validation and pilot testing. This phase will use a sequential-parallel hybrid design to develop and evaluate the appropriateness of the AI-PEF to deliver personalized exercise empowerment. Stage 1, Delphi Process for AI-PEF Development: Ten experts from diverse fields will participate in two Delphi rounds to finalize the AI-PEF framework. This includes refining algorithms, educational materials, and preliminary validation of key components, such as personalization algorithms and behavior-change strategies. Stage 2, Small-Scale Pilot Study (Early Feedback): A single-arm pilot study with 5 patients will be conducted over four weeks to gather feedback on usability, engagement, and content clarity. 2. Phase II : Larger Pilot Study (Aim 2) Phase II will focus on evaluating the feasibility, acceptability, and preliminary effectiveness of the refined AI-PEF intervention. A two-parallel-group design will be employed, with 30 participants, 15 participants per group, randomly assigned in a 1:1 ratio to the AI-PEF group and Active control group. Over three months, AI-PEF participants will engage in personalized exercise guided by AI, while active control participants will follow standard exercise recommendations. Both qualitative and quantitative data will be collected. Assessments will occur at baseline (T0) and 3 months (T1), including fitness tracker data, questionnaires (motivation, sleep, symptoms), and semi-structured interviews. The primary outcome of interest will be adherence rates, while secondary outcomes will focus on motivation and various health metrics. 3. Phase III : Full- scale three-arm RCT (Aim 3) Phase III will assess the long-term impact of the AI- PEF on exercise adherence, motivation, and health outcomes through a 3-arm RCT randomly assigned to one of three groups: (1) the AI-PEF group, receiving a machine learning-powered personalized exercise program; (2) the Theory-based digital exercise group, engaging in structured digital exercise without machine learning- powered feedback; or (3) the Active control group, receiving general exercise recommendations as part of standard care in a 1:1:1 ratio. Over six months, participants will receive group-specific interventions, with assessments conducted at baseline (T0), 3 months (T1), and 6 months (T2). Primary outcomes, including exercise adherence, will be objectively measured via Garmin fitness trackers, while secondary outcomes, such as motivation, sleep quality, and symptom reduction, will be assessed through standardized questionnaires and qualitative interviews. These standardized questionnaires are being used in our current digital remote exercise trial in patients with mild TBI (NSTC 112-2314-B-016-007-MY2) and have performed well on physiological performance. Data will be collected and analyzed using both quantitative and qualitative methods to compare adherence, motivation, and health outcomes across the three groups, identifying the efficacy of AI-PEF relative to standard interventions. Procedures will adhere to the blinding and randomization protocols described in Intervention Fidelity, ensuring unbiased assignment and data collection processes. This proposed study protocol is closely aligned with those that have been successfully implemented in our previous digital exercise trial.
Interventions
- Behavioral AI-PEF
Participants will follow a 12-week walking program with five 30-minute sessions per week, progressively increasing intensity based on heart rate and effort indices. Garmin fitness trackers will monitor adherence and intensity. Remote guidance will support participants via weekly digital health messages on the LINE app, offering personalized feedback, goal reinforcement, and lifestyle recommendations. Participants will also receiThese AI feedback implementations will be tailored to complement the - Behavioral Theory-based digital exercise
The theory-based digital exercise group will follow the same in-person clinic visits and walking program as AI-PEF but without AI-driven feedback - Behavioral Active Control
Participants in the active control group will receive standard TBI care, including Garmin-based self-monitoring and routine clinic visits at baseline (T0), 3 months (T1), and 6 months (T2). These visits will include general health education and recommendations on daily physical activity. No personalized or digital exercise strategies will be provided. Participants completing the 6-month protocol will have the option to access the AI-PEF program after the study.
Primary outcome measures
- Adherence [Time frame: T1-baseline]
- Adherence [Time frame: T2- 1 month later]
- Adherence [Time frame: T3- 2 month later]
- Adherence [Time frame: T4- 3 month later]
- Adherence [Time frame: T5- 6 month later]
Secondary outcome measures (12)
- The Revised Sport Motivation Scale-II [Time frame: T1- baseline]
- The Revised Sport Motivation Scale-II [Time frame: T2- 1 month later]
- The Rivermead Post-Concussion Symptoms Questionnaire [Time frame: T1 baseline]
- The Beck Depression Inventory-II [Time frame: T1 baseline]
- The Pittsburgh Sleep Quality Index [Time frame: T1-baseline]
- The Godin-Shephard Leisure Time Physical Activity Questionnaire [Time frame: T1 -baseline]
- The World Health Organization Quality of Life Scale-brief [Time frame: T1 - baseline]
- Advanced sleep pattern [Time frame: T1- baseline]
- Mini-Mental State Examination [Time frame: T1- baseline]
- 6-Minute Walk Test [Time frame: T1-baseline]
- The mHealth App usability questionnaire [Time frame: T1-baseline]
- Montreal Cognitive Assessment [Time frame: T1-baseline]
Eligibility criteria
Inclusion criteria
- Eligible participants are patients aged over 18 with mild TBI (GCS 13-15)
- who can walk independently,
- reside in the Greater Taipei area,
- and possess sufficient Chinese or Taiwanese language proficiency to understand the trial
- complete self-administered questionnaires.
Exclusion criteria
- Exclusion criteria include individuals with severe medical conditions (e.g., respiratory failure, epilepsy, psychiatric disorders), musculoskeletal or neurological impairments
- hindering physical activity in the 6-minute walk test,
- cognitive impairments (MMSE < 24),
- frontal lobe injuries or penetrating injury causing significant psychological dysfunction.
- Patients regularly engaging in moderate-to-high-intensity aerobic exercise or participating in other studies will also be excluded to avoid bias.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Triple blind
- Primary purpose
- Supportive care
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT06817564 · AI feedback digital exercise