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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.06055 |
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| _version_ | 1866912183090151424 |
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| author | Billat, Véronique Amor, Wejdene Nasr Ben Hadj Saës, Guillaume Jaffard, Stéphane Palacin, Florent |
| author_facet | Billat, Véronique Amor, Wejdene Nasr Ben Hadj Saës, Guillaume Jaffard, Stéphane Palacin, Florent |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_06055 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multifractal Analysis of Physiological Signals: A Novel Approach to Optimizing Pacing Strategy in a Pilot Study Billat, Véronique Amor, Wejdene Nasr Ben Hadj Saës, Guillaume Jaffard, Stéphane Palacin, Florent Signal Processing 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. |
| title | Multifractal Analysis of Physiological Signals: A Novel Approach to Optimizing Pacing Strategy in a Pilot Study |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2501.06055 |