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DC poleHodnotaJazyk
dc.contributor.authorŠtork, Milan
dc.contributor.authorNovák, Jaroslav
dc.contributor.authorZeman, Vaclav
dc.date.accessioned2019-04-15T10:00:14Z-
dc.date.available2019-04-15T10:00:14Z-
dc.date.issued2019
dc.identifier.citationŠTORK, 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.en
dc.identifier.isbn978-981-10-9037-0
dc.identifier.issn1680-0737
dc.identifier.uri2-s2.0-85048217232
dc.identifier.urihttp://hdl.handle.net/11025/33939
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringer Nature Singapore Pte Ltd.en
dc.relation.ispartofseriesIFMBE Proceedings (Vol. 68/2)en
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Springer Nature Singapore Pte Ltd.en
dc.titleModels of physiological parameters for runners and cyclistsen
dc.typepostprintcs
dc.typepostprinten
dc.rights.accessrestrictedAccessen
dc.type.versionacceptedVersionen
dc.description.abstract-translatedThe 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.en
dc.subject.translatedbicycle ergometeren
dc.subject.translatedtreadmillen
dc.subject.translatedheart rateen
dc.subject.translatedoxygen uptakeen
dc.subject.translatednonlinear systemen
dc.subject.translatedoptimization state spaceen
dc.identifier.doi10.1007/978-981-10-9038-7_48
dc.type.statusPeer-revieweden
dc.identifier.document-number449742700048
dc.identifier.obd43924075
dc.project.IDLO1607/RICE-NETESIS - nové technologie a koncepce pro inteligentní průmyslové systémy (NETESIS)cs
dc.project.IDSGS-2018-001/Výzkum a vývoj elektronických a komunikačních systémů ve vědeckých a inženýrských aplikacíchcs
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Konferenční příspěvky / Conference papers (RICE)
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