CClinicalTrials.gg
RecruitingNCT07161531Updated Sep 8, 2025

Test-retest Reliability of sEMG to Measure Fatigue in Adolescents

An interventional study of Surface Electromyography in Healthy Adolescents, sponsored by Universiteit Antwerpen. Recruiting at 1 site in Belgium. Open to participants aged 13 Years to 19 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-09-08.

Sponsored by Universiteit Antwerpen · Not applicable, Interventional, and Basic science

From the registry’s dates

  • Primary completion was expected by Dec 2025, 9 months ago, but the record still lists the study as recruiting.
  • Registered 5 months after the study started (first participant enrolled Mar 2025, registered Aug 2025).
  • Started Mar 2025; still recruiting 1 year 6 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
27
Allocation
Not applicable
Ages
13 Years to 19 Years
Sex
All
01

Study summary

This cross-sectional study aims to determine the test-retest reliability of surface electromyography (sEMG) outcomes in detecting levels of fatigue among healthy adolescents engaged in physical activities. It seeks to evaluate the consistency of sEMG parameters across two test sessions and correlate these measurements with both performance metrics and subjective fatigue assessments.

Participants will perform repetitive squatting until volitional exhaustion while their muscular activity is recorded. They will do so on two different test sessions with an interval of one week in between.

02

Conditions studied

  • Healthy Adolescents
03

In context

Lead sponsor

Universiteit Antwerpen is the lead sponsor of 128 studies on the registry; 28 are open to participants now.

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

04

Who can participate

Ages eligible
13 Years to 19 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • engage in regular physical activity, such as sports or dance

Exclusion criteria

Exclusion Criteria:

  • neuromuscular disorders
  • conditions that affect muscle function
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
27 participants (estimated)

Study arms

  • Experimental
    Fatigue

    To induce muscular fatigue, participants will perform a repetitive bodyweight squat until 1) the squat cannot be performed over the full range of motion for 2 consecutive repetitions and 2) physical exertion occurs (10-point Borg scale).

    Diagnostic Test: Surface Electromyography

Interventions

  • Diagnostic testSurface Electromyography

    The primary lower limb muscles to be monitored include the gluteus medius, rectus femoris, vastus lateralis (quadriceps ), biceps femoris (hamstrings), tibialis anterior, and gastrocnemius medialis (calves). This setup fully utilizes a 16-channel sEMG system by monitoring each muscle group bilaterally to capture comprehensive data on muscle activity and fatigue.

06

What researchers measure

Primary outcomes

  1. sEMG median power frequency (MPF) - test

    A parameter used to analyze the frequency content of the electrical signals generated by muscle activity. Changes in the MPF can indicate alterations in muscle fiber recruitment and metabolic changes during sustained muscle contractions

    Time frame: first test session at day 1

  2. sEMG median power frequency - retest

    A parameter used to analyze the frequency content of the electrical signals generated by muscle activity. Changes in the MPF can indicate alterations in muscle fiber recruitment and metabolic changes during sustained muscle contractions

    Time frame: second test session after 1 week

  3. sEMG RMS amplitude - test

    A single value that represents the magnitude of the sEMG signal over a specified period of time, higher RMS values indicate greater muscle activation.

    Time frame: first test session at day 1

  4. sEMG RMS amplitude - retest

    A single value that represents the magnitude of the sEMG signal over a specified period of time, higher RMS values indicate greater muscle activation.

    Time frame: second test session after 1 week

Secondary outcomes

  1. VAS score - test

    subjective fatigue score

    Time frame: first test session at day 1

  2. VAS score - retest

    subjective fatigue score

    Time frame: second session after 1 week

Other outcomes

  1. Age

    age in years

    Time frame: first test session at day 1

  2. Gender

    male/female/other

    Time frame: first session

  3. Height

    body height in centimeters

    Time frame: first test session at day 1

  4. Weight

    body weight in kilograms

    Time frame: first test session at day 1

  5. Leg length

    Length measured from trochanter major to the ground in centimeters

    Time frame: first test session at day 1

  6. Physical Activity

    PAQ-A (physical activity questionaire for adolescents): a self-administered, 7-day recall instrument. It was developed to assess general levels of physical activity for high school students in grades 9 to 12 and approximately 14 to 19 years of age.

    Time frame: first test session at day 1

07

Study locations

1 of 1 sites recruiting
  • Universiteit Antwerpen, Department of Rehabilitation Sciences and Physiotherapy, Research group MOVANT
    Wilrijk, 2610, Belgium
    Recruiting
08

References and documents

Publications

  • Mokkink, L.B., de Vet, H., Diemeer, S. et al. Sample size recommendations for studies on reliability and measurement error: an online application based on simulation studies. Health Serv Outcomes Res Method 23, 241-265 (2023)
  • Patikas DA, Williams CA, Ratel S. Exercise-induced fatigue in young people: advances and future perspectives. Eur J Appl Physiol. 2018 May;118(5):899-910. doi: 10.1007/s00421-018-3823-1. Epub 2018 Feb 13. PubMed 29441401 ↗
  • Lynn SK, Watkins CM, Wong MA, Balfany K, Feeney DF. Validity and Reliability of Surface Electromyography Measurements from a Wearable Athlete Performance System. J Sports Sci Med. 2018 May 14;17(2):205-215. eCollection 2018 Jun. PubMed 29769821 ↗
  • Cifrek M, Medved V, Tonkovic S, Ostojic S. Surface EMG based muscle fatigue evaluation in biomechanics. Clin Biomech (Bristol). 2009 May;24(4):327-40. doi: 10.1016/j.clinbiomech.2009.01.010. Epub 2009 Mar 13. PubMed 19285766 ↗

Study documents

  • Protocol and statistical analysis plan · Oct 31, 2024

Documents are hosted by the registry — open the source record to download them.

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 Sep 8, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07161531
Lead sponsor
Universiteit Antwerpen
Responsible party
Ann Hallemans (Associate Professor, Universiteit Antwerpen) — Principal investigator
First posted
Sep 8, 2025
Start date
Mar 12, 2025
Primary completion
Dec 31, 2025 (estimated)
Completion
Jun 30, 2026 (estimated)
Last update
Sep 8, 2025

Study contacts

Ann Hallemans, Associate Professor, PhD
Contact
ann.hallemans@uantwerpen.be
+3232652912

Oversight

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

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

Contact study team

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion