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

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

Blog Article

Study #Stockmans breastplate 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 protocol on the treadmill [9].The purpose of the present study was to test the ability of an ANN to predict VO2 responses during cycling at self-selected intensities using Heart Rate (HR), time derivative of HR, power output, cadence, and PINK HIMALAYAN SALT TOOTHPASTE body mass data.