Collections > Electronic Theses and Dissertations > A mathematical model for predicting HR max, VO2 max, and oxygen uptake kinetics during treadmill walking and running at varied intensities

Maximal oxygen uptake (VO2 max) is difficult to measure and most predictions are inaccurate due to a variety of assumptions. The purpose of this study was to validate a dynamical system model (DSM) for predicting HR max and VO2 max during walking and running. A secondary purpose was to predict VO2 responses using a neural network. Twenty-six healthy males completed a maximal cardiopulmonary exercise test (CPET) and a submaximal protocol. The models were applied to the submaximal data to estimate the participants’ HR/VO2 responses and predict their HR max and VO2 max. The model accurately tracked HR and VO2 responses (R2 = -.85-0.99). However, it did not accurately estimate max (R2 < 0). Further refinement of the model is needed. This study elucidated some of the challenges of using a DSM and demonstrated that a neural network may be useful for easily predicting VO2 responses.