Title: Models of physiological parameters for runners and cyclists
Authors: Štork, Milan
Novák, Jaroslav
Zeman, Vaclav
Citation: ŠTORK, M., NOVÁK, J., ZEMAN, V. Models of physiological parameters for runners and cyclists. In: IFMBE Proceedings (Vol. 68/2). Singapore: Springer Nature Singapore Pte Ltd., 2019. s. 259-263. ISBN 978-981-10-9037-0, ISSN 1680-0737.
Issue Date: 2019
Publisher: Springer Nature Singapore Pte Ltd.
Document type: postprint
URI: 2-s2.0-85048217232
ISBN: 978-981-10-9037-0
ISSN: 1680-0737
Keywords in different language: bicycle ergometer;treadmill;heart rate;oxygen uptake;nonlinear system;optimization state space
Abstract in different language: 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 activity, 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 etc. during cycling exercise on bicycle ergometer or running exercise on treadmill. Workload intensity (in Watts) on bicycle ergometer and running velocity (in km/h) on the treadmill are taken as input for dynamic models. Determination of dynamic models of physiological parameters is fundamental for athletic training methodology, as well as evaluation of cardiorespiratory capacity and fitness. 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. Optimization 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.
Rights: Plný text je přístupný v rámci univerzity přihlášeným uživatelům.
© Springer Nature Singapore Pte Ltd.
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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/33939

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