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Multidimensional Analysis of Physiological Entropy during Self-Paced Marathon Running
Florent Palacin1, Luc Poinsard1, Véronique Billat1,2
1EA 4445-Movement, Balance, Performance, and Health Laboratory, Université de Pau et des Pays de l'Adour, 65000 Tarbes, France.
Sports (Basel, Switzerland)
|September 27, 2024
Summary
Marathon pacing is optimized by analyzing physiological data variability using Shannon entropy and PCA. Real-time monitoring of these metrics can help runners avoid "hitting the wall" and improve performance.
Area of Science:
- Exercise Physiology
- Sports Science
- Data Analysis in Athletics
Background:
- Marathon running performance is significantly impacted by pacing strategies.
- Runners often experience a performance decline, known as
- hitting the wall
- around the 30 km mark.
- Optimizing pacing requires understanding complex physiological responses during endurance events.
Purpose of the Study:
- To investigate physiological responses and pacing strategies during marathon running.
- To apply Shannon entropy and Principal Component Analysis (PCA) for quantifying cardiorespiratory measure variability.
- To explore the potential for optimizing self-paced marathon performance through physiological data analysis.
Main Methods:
- Continuous monitoring of oxygen uptake (V˙O2), carbon dioxide output (V˙CO2), tidal volume (Vt), heart rate, respiratory frequency (Rf), and running speed in nine recreational marathon runners.
- Application of PCA to analyze entropy variance of cardiorespiratory measures and running parameters.
- Utilizing Agglomerative Hierarchical Clustering to categorize runners' physiological responses and identify distinct entropy profiles.
Main Results:
- PCA revealed distinct axes for metabolic (V˙O2, V˙CO2, Vt) and other (heart rate, cadence) physiological responses.
- A shift in physiological state was observed post-26 km, indicated by changes in metabolic responses relative to distance.
- Heart rate and cadence entropy variances appeared independent of distance, unlike typical linear changes.
- Clustering identified 2-4 distinct physiological response profiles, often correlating with race phases (beginning, middle, end).
Conclusions:
- Physiological responses and pacing strategies during marathons are highly individualized.
- Real-time entropy monitoring offers potential for enhanced marathon performance insights.
- Understanding physiological variability can help runners prevent performance degradation and
- hit the wall.
- Individualized pacing strategies based on physiological feedback are crucial for marathon success.
