NCT06817564

Brief 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 adherence, sleep quality, depressive symptoms, and quality of life with 90 participants in a 3-arm randomized trial.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
125

participants targeted

Target at P50-P75 for not_applicable

Timeline
65mo left

Started Mar 2025

Longer than P75 for not_applicable

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress18%
Mar 2025Aug 2031

First Submitted

Initial submission to the registry

January 20, 2025

Completed
21 days until next milestone

First Posted

Study publicly available on registry

February 10, 2025

Completed
19 days until next milestone

Study Start

First participant enrolled

March 1, 2025

Completed
5.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2030

Expected
8 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2031

Last Updated

February 12, 2025

Status Verified

February 1, 2025

Enrollment Period

5.8 years

First QC Date

January 20, 2025

Last Update Submit

February 8, 2025

Conditions

Keywords

AI-Driven Personalized Exercise Program

Outcome Measures

Primary Outcomes (5)

  • Adherence

    Exercise adherence will be the primary outcome, defined as the percentage of participants completing at least five exercise sessions weekly over 12 weeks. Adherence will be objectively tracked using the Garmin Vivosmart 5, which monitors exercise duration and frequency. Range of adherence are 0- 100%, the higher percentage means the higher adherence.

    T1-baseline

  • Adherence

    Exercise adherence will be the primary outcome, defined as the percentage of participants completing at least five exercise sessions weekly over 12 weeks. Adherence will be objectively tracked using the Garmin Vivosmart 5, which monitors exercise duration and frequency. Range of adherence are 0- 100%, the higher percentage means the higher adherence.

    T2- 1 month later

  • Adherence

    Exercise adherence will be the primary outcome, defined as the percentage of participants completing at least five exercise sessions weekly over 12 weeks. Adherence will be objectively tracked using the Garmin Vivosmart 5, which monitors exercise duration and frequency. Range of adherence are 0- 100%, the higher percentage means the higher adherence.

    T3- 2 month later

  • Adherence

    Exercise adherence will be the primary outcome, defined as the percentage of participants completing at least five exercise sessions weekly over 12 weeks. Adherence will be objectively tracked using the Garmin Vivosmart 5, which monitors exercise duration and frequency. Range of adherence are 0- 100%, the higher percentage means the higher adherence.

    T4- 3 month later

  • Adherence

    Exercise adherence will be the primary outcome, defined as the percentage of participants completing at least five exercise sessions weekly over 12 weeks. Adherence will be objectively tracked using the Garmin Vivosmart 5, which monitors exercise duration and frequency. Range of adherence are 0- 100%, the higher percentage means the higher adherence.

    T5- 6 month later

Secondary Outcomes (70)

  • The Revised Sport Motivation Scale-II

    T1- baseline

  • The Revised Sport Motivation Scale-II

    T2- 1 month later

  • The Rivermead Post-Concussion Symptoms Questionnaire

    T1 baseline

  • The Beck Depression Inventory-II

    T1 baseline

  • The Pittsburgh Sleep Quality Index

    T1-baseline

  • +65 more secondary outcomes

Study Arms (3)

AI-PEF

EXPERIMENTAL

the AI-PEF group, receiving a machine learning-powered personalized exercise program.

Behavioral: AI-PEF

Theory-based digital exercise

EXPERIMENTAL

Theory-based digital exercise group, engaging in structured digital exercise without machine learning- powered feedback.

Behavioral: Theory-based digital exercise

Active control group

ACTIVE COMPARATOR

the Active control group, receiving general exercise recommendations as part of standard care in a 1:1:1 ratio.

Behavioral: Active Control

Interventions

AI-PEFBEHAVIORAL

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 in-person education and will include reminders of the individualized goals set during the remote exercise intervention and consultation . The digital component will also offer a platform for patients to share their progress and seek further guidance during the scheduled in-person consultation. The use of digital AI feedback aligns with the trend of integrating technology into healthcare services, providing a convenient and accessible modality for supporting parents engaging in regular exercise.

AI-PEF

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

Theory-based digital exercise
Active ControlBEHAVIORAL

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.

Active control group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • 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.

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Conditions

Brain Injuries, TraumaticMotor Activity

Condition Hierarchy (Ancestors)

Brain InjuriesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesCraniocerebral TraumaTrauma, Nervous SystemWounds and InjuriesBehavior

Central Study Contacts

Hui-Hsun Chiang, Professor

CONTACT

Hui-Hsun Chiang, Professor

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
TRIPLE
Who Masked
PARTICIPANT, CARE PROVIDER, OUTCOMES ASSESSOR
Masking Details
Physicians are masked.
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Model Details: Phase 2: Evaluate the feasibility, acceptability, and preliminary effectiveness of the AI-PEF in improving patient outcomes. Phase 3: Examine the impact of the AI-PEF on exercise adherence and health outcomes
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

January 20, 2025

First Posted

February 10, 2025

Study Start

March 1, 2025

Primary Completion (Estimated)

December 31, 2030

Study Completion (Estimated)

August 31, 2031

Last Updated

February 12, 2025

Record last verified: 2025-02

Data Sharing

IPD Sharing
Will not share