From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes

Lactate analysis plays an important role in sports science and training decisions for optimising performance, endurance, and overall success in sports. Two parameters are widely used for these goals: aerobic (AeT) and anaerobic (AnT) thresholds. However, determining AeT proves more challenging than...

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Veröffentlicht in:	PloS one Jg. 19; H. 8; S. e0309427
Hauptverfasser:	Tomaszewski, Michał, Lukanova-Jakubowska, Anna, Majorczyk, Edyta, Dzierżanowski, Łukasz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 29.08.2024 Public Library of Science (PLoS)
Schlagworte:	Adult Algorithms Anaerobic threshold Anaerobic Threshold - physiology Analysis Athletes Biology and Life Sciences Coaches & managers Customization Data mining Decision trees Energy Ensemble learning Evaluation Exercise intensity Exercise Test - methods Exercise tests Fatigue tests Female Heart rate Humans Lactic acid Lactic Acid - blood Learning algorithms Literature reviews Machine Learning Male Mathematical models Medicine and Health Sciences Metabolism Parameter identification Performance evaluation Physical fitness Physical Sciences Physiological aspects Physiology Predictions Root-mean-square errors Social Sciences Sport science Sports Sports sciences Thresholds Training Young Adult Poland
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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