Multifractal analysis of physiological data from marathon runners
Guillaume Sa\"es (UMons, LAMA), Wejdene Ben Nasr (LAMA), St\'ephane, Jaffard (LAMA), Florent Palacin (ULB), V\'eronique Billat
TL;DR
This paper introduces a multifractal analysis method for marathon runners' heart rate data, revealing insights into physiological performance and heart rate autoregulation disturbances during the race.
Contribution
It presents a novel application of multifractal spectrum analysis based on p-exponents to physiological data from marathon runners.
Findings
Identifies disturbances in heart rate autoregulation during marathons.
Links multifractal spectrum features to performance metrics.
Provides physiological insights beyond traditional analysis methods.
Abstract
We propose an analysis of heart rate marathon runners implemented by computing a multifractal spectrum based on p-exponents. We draw physiological conclusions about their performance. Finally, we link this analysis with the disturbances of the heart rate autoregulation during the marathon, which had been put in evidence up to now only by scales of feeling of marathon runners during the race.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Time Series Analysis and Forecasting · Anomaly Detection Techniques and Applications