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DC poleHodnotaJazyk
dc.contributor.authorŠtork, Milan
dc.contributor.authorNovák, Jaroslav
dc.contributor.authorZeman, Václav
dc.contributor.editorPinker, Jiří
dc.date.accessioned2019-10-16T09:34:40Z
dc.date.available2019-10-16T09:34:40Z
dc.date.issued2017
dc.identifier.citation2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.239-242.en
dc.identifier.isbn978–80–261–0641–8 (Print)
dc.identifier.isbn978–80–261–0642–5 (Online)
dc.identifier.issn1803–7232 (Print)
dc.identifier.issn1805–9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35445
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectergometr kolacs
dc.subjectběžecký páscs
dc.subjecttepová frekvencecs
dc.subjectpříjem kyslíkucs
dc.subjectnelineární systémcs
dc.subjectoptimalizacecs
dc.subjectstátní prostorcs
dc.titleDynamic models of some physiological parameters in response to exerciseen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe 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.en
dc.subject.translatedbicycle ergometeren
dc.subject.translatedtreadmillen
dc.subject.translatedheart rateen
dc.subject.translatedoxygen uptakeen
dc.subject.translatednonlinear systemen
dc.subject.translatedoptimizationen
dc.subject.translatedstate spaceen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Applied Electronics 2017
Applied Electronics 2017

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