Test-retest Reliability of sEMG to Measure Fatigue in Adolescents

NCT ID: NCT07161531

Last Updated: 2025-09-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

27 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-03-12

Study Completion Date

2026-06-30

Brief Summary

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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.

Detailed Description

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Conditions

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Healthy Adolescents

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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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).

Group Type EXPERIMENTAL

Surface Electromyography

Intervention Type DIAGNOSTIC_TEST

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.

Interventions

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Surface 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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

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

Exclusion Criteria

* neuromuscular disorders
* conditions that affect muscle function
Minimum Eligible Age

13 Years

Maximum Eligible Age

19 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Universiteit Antwerpen

OTHER

Sponsor Role lead

Responsible Party

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Ann Hallemans

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Universiteit Antwerpen, Department of Rehabilitation Sciences and Physiotherapy, Research group MOVANT

Wilrijk, , Belgium

Site Status RECRUITING

Countries

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Belgium

Central Contacts

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Ann Hallemans, Associate Professor, PhD

Role: CONTACT

+3232652912

Facility Contacts

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Ann Hallemans, PhD

Role: primary

032652912

References

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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)

Reference Type BACKGROUND

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.

Reference Type BACKGROUND
PMID: 29441401 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 29769821 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19285766 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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6979

Identifier Type: -

Identifier Source: org_study_id

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