Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Štork, Milan | |
dc.contributor.author | Novák, Jaroslav | |
dc.contributor.author | Zeman, Václav | |
dc.contributor.editor | Pinker, Jiří | |
dc.date.accessioned | 2019-10-16T09:34:40Z | |
dc.date.available | 2019-10-16T09:34:40Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | 2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.239-242. | en |
dc.identifier.isbn | 978–80–261–0641–8 (Print) | |
dc.identifier.isbn | 978–80–261–0642–5 (Online) | |
dc.identifier.issn | 1803–7232 (Print) | |
dc.identifier.issn | 1805–9597 (Online) | |
dc.identifier.uri | http://hdl.handle.net/11025/35445 | |
dc.format | 4 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Západočeská univerzita v Plzni | cs |
dc.rights | © Západočeská univerzita v Plzni | cs |
dc.subject | ergometr kola | cs |
dc.subject | běžecký pás | cs |
dc.subject | tepová frekvence | cs |
dc.subject | příjem kyslíku | cs |
dc.subject | nelineární systém | cs |
dc.subject | optimalizace | cs |
dc.subject | státní prostor | cs |
dc.title | Dynamic models of some physiological parameters in response to exercise | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | 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. | en |
dc.subject.translated | bicycle ergometer | en |
dc.subject.translated | treadmill | en |
dc.subject.translated | heart rate | en |
dc.subject.translated | oxygen uptake | en |
dc.subject.translated | nonlinear system | en |
dc.subject.translated | optimization | en |
dc.subject.translated | state space | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Applied Electronics 2017 Applied Electronics 2017 |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Stork2.pdf | Plný text | 197,16 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/35445
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