Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network

• Main Authors: Borror Andrew (Author), Mazzoleni Michael (Author), Coppock James (Author), Jensen Brian C. (Author), Wood William A. (Author), Mann Brian (Author), Battaglini Claudio L. (Author)
• Format: Book
• Published: Sciendo, 2019-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Study aim: Oxygen Uptake (VO2) is avaluable metric for the prescription of exercise intensity and the monitoring of training progress. However, VO2 is difficult to assess in anon-laboratory setting. Recently, an artificial neural network (ANN) was used to predict VO2 responses during aset walking pr...