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CompletedNCT07066462Updated Apr 13, 2026

Exercise Fatigue Prediction in Healthy Individuals

An interventional study of Fatigue Exercise Protocol with Biosignal Monitoring in Healthy Young Adults, sponsored by National Taipei University. Completed at 1 site in Taiwan. Open to participants aged 18 Years to 30 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-13.

Sponsored by National Taipei University · Not applicable, Interventional, and Screening

From the registry’s dates

  • Registered 3 months after the study started (first participant enrolled Mar 2025, registered Jun 2025).
Phase
Not applicable
Study type
Interventional
Enrollment
17
Allocation
Not applicable
Ages
18 Years to 30 Years
Sex
All
01

Study 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.
02

Conditions studied

  • Healthy Young Adults

Keywords

  • Physical Fatigue Detection
  • Surface Electromyography (sEMG)
  • Fatigue Monitoring
  • Wearable Sensors
  • Biosignal Analysis
  • Electroenchephalography (EEG)
  • Heart rate (HR)
03

In context

Lead sponsor

National Taipei University is the lead sponsor of 2 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 30 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

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

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)
05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
17 participants (actual)

Study arms

  • Experimental
    Single Group Protocol

    Participants in this arm will perform two physical exercises on different days while wearing sensors that measure muscle activity (sEMG), brain activity (EEG), and heart rate (HR).

    Other: Fatigue Exercise Protocol with Biosignal Monitoring

Interventions

  • OtherFatigue Exercise Protocol with Biosignal Monitoring

    Participants will complete two fatiguing exercises, including static bicycling and dumbbell squats. During each exercise, surface electromyography (sEMG), electroencephalography (EEG), and heart rate (HR) will be recorded to analyze fatigue levels.

06

What researchers measure

Primary outcomes

  1. EEG (Electroencephalography) Alpha, Beta, Delta, and Theta Band Frequency (Hz)

    Relative power in the alpha (8 to 12 Hz), beta (12 to 30 Hz), delta (2 to 4 Hz), and theta (4 to 8 Hz) bands extracted from EEG signals recorded during exercise. Alpha power is associated with the onset of physical fatigue and is computed using MATLAB.

    Time frame: Two sessions: Day 1 (Cycling session) and Day 2 (Squat session)

  2. sEMG (Surface Electromyography) amplitude (μV) and median frequency (MDF) (Hz)

    sEMG (microvolts) recorded from both sides of the quadriceps, hamstrings, tibialis anterior, and gastrocnemius muscles. Signal processing will be performed to compute amplitude and median frequency, assessing neuromuscular activation and fatigue during exercise.

    Time frame: Two sessions: Day 1 (Cycling session) and Day 2 (Squat session)

  3. Heart rate (HR) and Heart rate variability (HRV)

    Heart rate (HR) and heart rate variability (HRV) are recorded in beats per minute (bpm) throughout cycling and squat sessions. Average and peak heart rates, as well as average heart rate variability (HRV), are used to evaluate physical fatigue and cardiovascular stress.

    Time frame: Day 1 (Cycling session) and Day 2 (Squatting session)

Secondary outcomes

  1. Body mass index (BMI)

    BMI is recorded by measuring body weight and height

    Time frame: Two times: before and after exercise sessions

  2. Static muscle strength (N)

    Static muscle strength in Newton of both sides of the quadriceps, hamstrings, tibialis anterior, and gastrocnemius is recorded using a dynamometer

    Time frame: Two times: before and after exercise sessions

  3. Borg rate of perceived exertion score (RPE)

    RPE scale records physical fatigue level for two exercise sessions

    Time frame: Two sessions: Day 1 (Cycling session) and Day 2 (Squat session)

07

Study locations

1 site
  • National Taipei University, Master Program in Smart Healthcare Management
    New Taipei City, 237303, Taiwan
08

References and documents

Publications

  • Chen YL, Chen CC, Hsia PY, Lin SK. Relationships of Borg's RPE 6-20 scale and heart rate in dynamic and static exercises among a sample of young Taiwanese men. Percept Mot Skills. 2013 Dec;117(3):971-82. doi: 10.2466/03.08.PMS.117x32z6. PubMed 24665812 ↗
  • Buzsaki, G. (2006). Rhythms of the Brain: Oxford university press
  • Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, Carty C, Chaput JP, Chastin S, Chou R, Dempsey PC, DiPietro L, Ekelund U, Firth J, Friedenreich CM, Garcia L, Gichu M, Jago R, Katzmarzyk PT, Lambert E, Leitzmann M, Milton K, Ortega FB, Ranasinghe C, Stamatakis E, Tiedemann A, Troiano RP, van der Ploeg HP, Wari V, Willumsen JF. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020 Dec;54(24):1451-1462. doi: 10.1136/bjsports-2020-102955. PubMed 33239350 ↗
  • Borghini G, Vecchiato G, Toppi J, Astolfi L, Maglione A, Isabella R, Caltagirone C, Kong W, Wei D, Zhou Z, Polidori L, Vitiello S, Babiloni F. Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6442-5. doi: 10.1109/EMBC.2012.6347469. PubMed 23367404 ↗
  • Bedo BLS, Pereira DR, Moraes R, Kalva-Filho CA, Will-de-Lemos T, Santiago PRP. The rapid recovery of vertical force propulsion production and postural sway after a specific fatigue protocol in female handball athletes. Gait Posture. 2020 Mar;77:52-58. doi: 10.1016/j.gaitpost.2020.01.017. Epub 2020 Jan 21. PubMed 31986376 ↗
  • Adeel M, Chen HC, Lin BS, Lai CH, Wu CW, Kang JH, Liou JC, Peng CW. Oxygen Consumption (VO2) and Surface Electromyography (sEMG) during Moderate-Strength Training Exercises. Int J Environ Res Public Health. 2022 Feb 16;19(4):2233. doi: 10.3390/ijerph19042233. PubMed 35206420 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 13, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07066462
Lead sponsor
National Taipei University
Responsible party
National Taipei University (Muhammad Adeel, DPT, Ph.D., National Taipei University) — Principal investigator
First posted
Jul 15, 2025
Start date
Mar 1, 2025
Primary completion
Aug 31, 2025
Completion
Nov 30, 2025
Last update
Apr 13, 2026

Study contacts

Muhammad Adeel, PhD
principal investigator · National Taipei University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Apr 2026. You cannot join it, but the record below documents what was studied.

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