Modeling Physiological Predictors of Running Velocity for Endurance Athletes

Background: Properly performed training is a matter of importance for endurance athletes (EA). It allows for achieving better results and safer participation. Recently, the development of machine learning methods has been observed in sports diagnostics. Velocity at anaerobic threshold (V(AT)), respi...

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Detalles Bibliográficos
Autores principales: Wiecha, Szczepan, Kasiak, Przemysław Seweryn, Cieśliński, Igor, Maciejczyk, Marcin, Mamcarz, Artur, Śliż, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696488/
https://www.ncbi.nlm.nih.gov/pubmed/36431165
http://dx.doi.org/10.3390/jcm11226688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696488/
https://www.ncbi.nlm.nih.gov/pubmed/36431165
http://dx.doi.org/10.3390/jcm11226688

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