The Prediction of Running Velocity during the 30–15 Intermittent Fitness Test Using Accelerometry-Derived Metrics and Physiological Parameters: A Machine Learning Approach

Measuring exercise variables is one of the most important points to consider to maximize physiological adaptations. High-intensity interval training (HIIT) is a useful method to improve both cardiovascular and neuromuscular performance. The 30–15(IFT) is a field test reflecting the effort elicited b...

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Detalles Bibliográficos
Autores principales: Di Credico, Andrea, Perpetuini, David, Chiacchiaretta, Piero, Cardone, Daniela, Filippini, Chiara, Gaggi, Giulia, Merla, Arcangelo, Ghinassi, Barbara, Di Baldassarre, Angela, Izzicupo, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535824/
https://www.ncbi.nlm.nih.gov/pubmed/34682594
http://dx.doi.org/10.3390/ijerph182010854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535824/
https://www.ncbi.nlm.nih.gov/pubmed/34682594
http://dx.doi.org/10.3390/ijerph182010854

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