Modeling V̇O₂ and V̇CO₂ with Hammerstein-Wiener Models

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ARTIGA GONZALEZ, Alexander, Raphael BERTSCHINGER, Dietmar SAUPE, 2016. Modeling V̇O₂ and V̇CO₂ with Hammerstein-Wiener Models. 4th International Congress on Sport Sciences Research and Technology Support. Porto, Portugal, 7. Nov 2016 - 9. Nov 2016. In: PEZARAT CORREIA, Pedro, ed.. Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support. 4th International Congress on Sport Sciences Research and Technology Support. Porto, Portugal, 7. Nov 2016 - 9. Nov 2016. Sétubal:Scitepress, pp. 134-140. ISBN 9789897582059

@inproceedings{Artiga Gonzalez2016Model-37210, title={Modeling V̇O₂ and V̇CO₂ with Hammerstein-Wiener Models}, year={2016}, doi={10.5220/0006086501340140}, isbn={9789897582059}, address={Sétubal}, publisher={Scitepress}, booktitle={Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support}, pages={134--140}, editor={Pezarat Correia, Pedro}, author={Artiga Gonzalez, Alexander and Bertschinger, Raphael and Saupe, Dietmar} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/37210"> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-02-08T10:17:50Z</dcterms:available> <dcterms:title>Modeling V̇O₂ and V̇CO₂ with Hammerstein-Wiener Models</dcterms:title> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-02-08T10:17:50Z</dc:date> <dc:creator>Saupe, Dietmar</dc:creator> <dc:contributor>Saupe, Dietmar</dc:contributor> <dc:contributor>Bertschinger, Raphael</dc:contributor> <dcterms:issued>2016</dcterms:issued> <dc:contributor>Artiga Gonzalez, Alexander</dc:contributor> <dcterms:abstract xml:lang="eng">V̇O₂ and V̇CO₂ measurements are central to methods for assessment of physical fitness and endurance capabilities in athletes. As measuring V̇O₂ and V̇CO₂ is difficult outside a lab, models with good prediction properties are necessary for online analysis and modeling in the field. Easier to measure are heart rate and during cycling also power. Thus, the here described models are based on either one of them or both. It is commonly accepted that the relationship between power and V̇O₂, V̇CO₂ and heart rate can be described by a linear and a nonlinear component. The latter describes a drift over time without increase in workload. Thus, block-structured systems such as Hammerstein-Wiener models with linear and nonlinear elements can be employed for modeling and prediction. Modeling and prediction power of these models is compared with a dynamic model based on physiological evidence. Our findings show that the simpler Hammerstein-Wiener model performs slightly better for both modeling and prediction with the advantage of being easier to estimate and evaluate. Overall, both models performed with errors smaller than the range of the natural variability of the modeled quantities. Thus, such models allow for applications in the field where V̇O₂ and V̇CO₂ cannot be measured.</dcterms:abstract> <dc:creator>Artiga Gonzalez, Alexander</dc:creator> <dc:creator>Bertschinger, Raphael</dc:creator> <dc:language>eng</dc:language> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/37210"/> </rdf:Description> </rdf:RDF>

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