Multifractal analysis of physiological data from marathon runners

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.
Comment: in French language. GRETSI 2022, XXVIII{\`e}me Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France