Marathons are one of the ultimate challenges of human endeavor. In this paper, we apply recently introduced multifractal techniques which yield a new classification parameter in the processing of physiological data captured on marathon runners. The comparison of their values gives a new insight on the way that runners of different level conduct their run, and ultimately, can be used in order to give advice on how to improve their performance.
@article{arxiv.2501.06055,
title = {Multifractal Analysis of Physiological Signals: A Novel Approach to Optimizing Pacing Strategy in a Pilot Study},
author = {Véronique Billat and Wejdene Nasr Ben Hadj Amor and Guillaume Saës and Stéphane Jaffard and Florent Palacin},
journal= {arXiv preprint arXiv:2501.06055},
year = {2025}
}