Exercise Fatigue Prediction in Healthy Individuals
Taiwan17 participantsStarted 2025-03-01
Plain-language summary
The goal of this research study is to develop an AI-based model to detect physical fatigue in healthy young adults. The main questions it aims to answer are:
1. Can muscle, heart, and brain signals be used to predict physical fatigue in real time?
2. How accurately can an AI model detect fatigue based on these signals?
Participants will:
* Perform moderate to high intensity physical exercises, including static bicycling and dumbbell squats, while wearing non-invasive sensors that measure muscle activity (sEMG), heart rate (HR), and brain activity (EEG).
* Before starting the exercises, participants will complete a brief warm-up session that includes stretching and mobility movements.
* Each participant undergoes two training sessions, with pre- and post-evaluations of their physical fitness status and static muscle strength.
Who can participate
Age range
18 Years – 30 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Individuals between 18 and 30 years old
* Healthy college students who regularly exercise
* Participants who meet the World Health Organization (WHO) guidelines for physical activity: at least 150-300 minutes of aerobic activity per week or muscle-strengthening exercises for major muscle groups on 2 or more days per week
* Participants who provide written informed consent
Exclusion Criteria:
* Individuals younger than 18 or older than 30
* History of any metabolic, systemic, or musculoskeletal disorder
* Recent injury or surgery
* Failure to pass the pre-exercise fitness screening questionnaire (PAR-Q)
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
EEG (Electroencephalography) Alpha, Beta, Delta, and Theta Band Frequency (Hz)
Timeframe: Two sessions: Day 1 (Cycling session) and Day 2 (Squat session)
2
sEMG (Surface Electromyography) amplitude (μV) and median frequency (MDF) (Hz)
Timeframe: Two sessions: Day 1 (Cycling session) and Day 2 (Squat session)
3
Heart rate (HR) and Heart rate variability (HRV)
Timeframe: Day 1 (Cycling session) and Day 2 (Squatting session)