Dynamic models of some physiological parameters in response to exercise

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F17%3A43932673" target="_blank" >RIV/49777513:23220/17:43932673 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11140/17:10361911

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/8053622/" target="_blank" >http://ieeexplore.ieee.org/document/8053622/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/AE.2017.8053622" target="_blank" >10.23919/AE.2017.8053622</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic models of some physiological parameters in response to exercise

Popis výsledku v původním jazyce

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 series. 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.

Název v anglickém jazyce

Dynamic models of some physiological parameters in response to exercise

Popis výsledku anglicky

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 series. 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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

30105 - Physiology (including cytology)

Projekt

<a href="/cs/project/LO1607" target="_blank" >LO1607: RICE – Nové technologie a koncepce pro inteligentní průmyslové systémy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference on Applied Electronics (AE 2017) : /proceedings/

ISBN

978-80-261-0641-8

ISSN

1803-7232

e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

239-242

Název nakladatele

University of West Bohemia

Místo vydání

Pilsen

Místo konání akce

Pilsen, Czech Republic

Datum konání akce

5. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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