Abstract
The study of physiological parameters dynamic is currently the main area of research in exercise physiology. Finding dynamical models of heart rate, oxygen uptake, pulmonary ventilation and other parameters is fundamental for training methodology in sport, as well as for our knowledge of cardiorespiratory health.
The present work demonstrates the application of dynamic systems models to the simulation of heart rate kinetics and oxygen consumption during workloads of time-varying intensity. The use of modern mathematical methods of analysis such as the model parameters estimation could be beneficial for understanding the relationship between the physiological responses to load and/or athletic performance, for identifying certain features in the physiological time serie.
As a result, the application of such methods for analysis and modeling will have a large impact not only on the development and better understanding training methodology and the testing data of athletes but also in the area of exercise medicine.