Multifractal analysis of physiological data from marathon runners

2022/06/15 by Guillaume Saës, Wejdene Ben Nasr, Saës, Guillaume +7
Economics, Econometrics and Finance · Computer Science · #Complex Systems and Time Series Analysis #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications

paper · pdf · doi:10.48550/arxiv.2206.08140

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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