Heart rate variability in soccer players and the application of unsupervised machine learning

Heart rate variability in soccer players and the application of unsupervised machine learning

Aim: This study aimed to investigate the relationship between heart rate variability (HRV) parameters and performance in soccer players. Methods: This study used a cross-sectional design to assess HRV parameters in a cohort of twenty-nine male athletes, aged 18 to 20 years, randomly selected from th...

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Bibliographic Details
Main Authors: Wollner Materko, Sávio Andrei Medeiros Miranda, Thiago Henrique Lobato Bezerra, Carlos Alberto Machado de Oliveira Figueira
Format: Article
Language:English
Published: Open Exploration Publishing Inc. 2025-01-01
Series:Exploration of Cardiology
Subjects:
heart rate variability
autonomic nervous system
soccer
performance
factor analysis
Online Access:https://www.explorationpub.com/uploads/Article/A101241/101241.pdf
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