Predicting Heart Rate Slow Component Dynamics: A Model Across Exercise Intensities, Age, and Sex
The dynamic of the <sub>sc</sub>HR can be predicted in a heterogeneous sample accounting for the combined effects of relative intensity, sex, and age. The above equation provides the means to dynamically adapt HR targets over time, avoiding an undesired reduction in the absolute and relative training load. This strategy would allow the maintenance of the desired metabolic stimulus (V˙O<sub>2</sub>) throughout an exercise session in a heterogeneous population.
Authors
- Alessandro L. Colosio (ORCID: https://orcid.org/0000-0001-9091-2473)
- M. Loi (ORCID: https://orcid.org/0009-0009-3443-197X)
- Silvia Pogliaghi (ORCID: https://orcid.org/0000-0002-4394-8550)
- Jan Boone (ORCID: https://orcid.org/0000-0002-8485-6169)
- Massimo Teso (ORCID: https://orcid.org/0000-0002-4319-8008)
Institutions
- University of Verona (IT)
- Ghent University (BE)
- Hamad bin Khalifa University (QA)
- Laboratoire Interuniversitaire de Biologie de la Motricité (FR)
- Université Jean Monnet (FR)
Publication Details
- Journal
- Sports
- Published
- 2025-02-07
- DOI
- https://doi.org/10.3390/sports13020045
- Citations
- 1
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 1.39