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Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
Published on: July 27, 2015
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Physiological Responder Profiles and Fatigue Dynamics in Prolonged Cycling
Adrian Odriozola1,2, Cristina Tirnauca3, Francesc Corbi4
1Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.
Journal of Functional Morphology and Kinesiology
|December 24, 2025
Summary
Professional cyclists recover faster and show more consistent physiological responses after maximal efforts compared to amateurs. A four-variable model aids in personalizing monitoring and performance management for athletes.
Area of Science:
- Sports Science
- Exercise Physiology
- Performance Analytics
Background:
- Understanding multidomain physiological responses to maximal exercise is crucial for athlete monitoring.
- Individual variability in fatigue and recovery dynamics necessitates personalized approaches.
- Differentiating physiological profiles between professional and amateur athletes can inform training strategies.
Purpose of the Study:
- To characterize multidomain physiological responses to a maximal cycling effort.
- To identify consistent physiological responder profiles in cyclists.
- To compare professionals and amateurs and assess the practical value of profiles for personalized monitoring.
Main Methods:
- Observational study with 22 trained male cyclists (10 professionals, 12 amateurs).
- Maximal 20-min functional threshold power (FTP) test with complementary physiological assessments (jump tests, blood markers, cardiovascular).
- Data collected at baseline, immediately post-test, and 24 hours post-test; statistical analyses included t-tests, ANOVA, and correlations.
Main Results:
- Professionals demonstrated significantly higher FTP, greater post-exercise lactate, and higher 24-h creatine kinase (CK) responses.
- Cardiovascular and metabolic recovery slopes were faster in professionals, who also showed reduced neuromuscular fatigue.
- Eight responder profiles emerged, with professionals exhibiting more multi-domain adaptation patterns; FTP correlated strongly with 5-min all-out and Wingate mean power.
Conclusions:
- Fatigue and recovery in cycling exhibit significant interindividual variability across physiological domains.
- Professional cyclists recover faster and display more frequent multidomain responder profiles.
- A four-variable model (FTP, lactate, CK, jump test ratio) provides a practical framework for identifying physiological responder types and personalized performance management.
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