Open AccessPredicting Oxygen Uptake Responses During Cycling Using an Artificial Neural Network
Author(s) -
Andrew Borror,
Michael J. Mazzoleni,
James Coppock,
Brian P. Mann,
Cláudio L. Battaglini
Publication year - 2018
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/01.mss.0000536750.11964.8e
Subject(s) - cadence , cycling , intensity (physics) , vo2 max , exercise intensity , exercise prescription , artificial neural network , metric (unit) , ventilatory threshold , heart rate , physical therapy , simulation , mathematics , physical medicine and rehabilitation , computer science , medicine , machine learning , blood pressure , engineering , operations management , physics , archaeology , quantum mechanics , history