Abstract
The study of physiological parameters dynamic is currently the main area of research in exercise physiology. The most common physiological data to collect include heart rate, oxygen saturation, core body and skin temperature, blood pressure, ECG, oxygen consumption and others.
The data obtained are often related to various forms and intensities of physical aktivity, and in accordance with the principles of personalized medicine evaluated. Mathematical models are able to simulate some physiological parameters e.g. heart rate, oxygen consumption atc. during cycling exercise on bicycle ergometer or running exercise on treadmill.
Workload intensity (in Watts) on bicycle ergometer and running dynamic models. Determination of dynamic models of physiological parameters is fundamental for athletic training methodology, as well as evaluation of cardiorespiratory capacity and fittness.
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. Optimazation of free model parameters could be used as important information about the health condition of the subject with special reference to the cardiorespiratory capacity and fitness age.
The models could be used both for athletes as well as for untrained sedentary population.