Improving Muscle Fatigue Models for Soccer
Author Information
Author(s): Skoki Arian, Ivić Stefan, Ljubic Sandi, Lerga Jonatan, Štajduhar Ivan
Primary Institution: University of Rijeka
Hypothesis
Can a refined muscle fatigue model better capture the dynamic demands of soccer matches?
Conclusion
The enhanced model shows improved performance in predicting muscle fatigue during soccer-specific activities.
Supporting Evidence
- The refined model improved the R2 score from 0.87 to 0.89 in the maximum hand-grip test.
- R2 scores for the model ranged from 0.62 to 0.80 during the 80 m sprint test.
- The model maintained R2 scores between 0.70 and 0.72 when applied to actual soccer match data.
Takeaway
This study created a better way to understand how tired soccer players get during games, helping coaches make smarter decisions.
Methodology
The study used data from various tests, including a repeated sprint test and match data, to optimize a muscle fatigue model.
Limitations
The model's accuracy depends on the assumption of players' desired exertion levels, which can vary during matches.
Participant Demographics
Five soccer players from different positions participated in the study.
Digital Object Identifier (DOI)
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