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Predictive Neuromuscular Fatigue of the Lower Extremity Utilizing Computer Modeling
Journal of Biomechanical Engineering
|November 28, 2015
Summary
This study models neuromuscular fatigue in lower extremity muscles during athletic movements. Analytical fatigue models accurately predicted hamstring fatigue, showing how muscle forces shift, potentially impacting injury risk.
Area of Science:
- Biomechanics
- Neuromuscular Physiology
- Sports Science
Background:
- Neuromuscular fatigue significantly impacts muscle force production during dynamic movements.
- Understanding these effects is crucial for injury prevention, particularly for noncontact anterior cruciate ligament (ACL) injuries.
Purpose of the Study:
- To model lower extremity muscle forces and their correlation with neuromuscular fatigue.
- To estimate the effects of hamstring fatigue on muscle forces during a side step cut using analytical fatigue models.
Main Methods:
- Combined two analytical fatigue models (Tang and Xia) with a musculoskeletal model.
- Utilized subject-specific and established fatigue/recovery data.
- Assessed varying levels of hamstring fatigue (10-90%) on muscle force production.
Main Results:
- Both fatigue models predicted hamstring fatigue within 20% of experimental data.
- Increased hamstring fatigue led to decreased quadriceps force (-21%) and increased gastrocnemius force (+36%).
- Semimembranosus and semitendinosus muscles showed the largest and smallest prediction differences, respectively.
Conclusions:
- Validated analytical fatigue models for assessing neuromuscular fatigue effects during side step cuts.
- The model can evaluate fatigue's impact on lower extremity injury risk in athletes.
- Insights into muscle compensations during fatigue may explain altered movement patterns linked to ACL injuries.
