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dc.contributor.authorGonzalez Herrero, ME
dc.contributor.authorKuehn, C
dc.contributor.authorTsaneva-Atanasova, K
dc.date.accessioned2021-07-05T07:45:32Z
dc.date.issued2021-07-02
dc.description.abstractSince Noble adapted in 1962 the model of Hodgkin and Huxley to fit Purkinje fibres, the refinement of models for cardiomyocytes has continued. Most of these models are high-dimensional systems of coupled equations so that the possible mathematical analysis is quite limited, even numerically. This has inspired the development of reduced, phenomenological models that preserve qualitatively the main feature of cardiomyocyte’s dynamics. In this paper, we present a systematic comparison of the dynamics between two notable low-dimensional models, the FitzHugh–Nagumo model (FitzHugh in Bull Math Biophys 17:257–269, 1955, J Gen Physiol 43:867–896, 1960, Biophys J 1:445–466, 1961) as a prototype of excitable behaviour and a polynomial version of the Karma model (Karma in Phys Rev Lett 71(7):16, 1993, Chaos 4:461, 1994) which is specifically developed to fit cardiomyocyte’s behaviour well. We start by introducing the models and considering their pure ODE versions. We analyse the ODEs employing the main ideas and steps used in the setting of geometric singular perturbation theory. Next, we turn to the spatially extended models, where we focus on travelling wave solutions in 1D. Finally, we perform numerical simulations of the 1D PDE Karma model varying model parameters in order to systematically investigate the impact on wave propagation velocity and shape. In summary, our study provides a reference regarding key similarities as well as key differences of the two models.en_GB
dc.identifier.citationVol. 83, article 88en_GB
dc.identifier.doi10.1007/s11538-021-00898-0
dc.identifier.urihttp://hdl.handle.net/10871/126287
dc.language.isoenen_GB
dc.publisherSpringer / Society for Mathematical Biologyen_GB
dc.rights© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.subjectCardiac cellsen_GB
dc.subjectMathematical modellingen_GB
dc.subjectFast–slow systemsen_GB
dc.subjectSingular perturbationen_GB
dc.subjectTravelling wavesen_GB
dc.titleReduced Models of Cardiomyocytes Excitability: Comparing Karma and FitzHugh–Nagumoen_GB
dc.typeArticleen_GB
dc.date.available2021-07-05T07:45:32Z
dc.identifier.issn1522-9602
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this frecorden_GB
dc.identifier.journalBulletin of Mathematical Biologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-03-29
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-07-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-07-02T17:27:49Z
refterms.versionFCDVoR
refterms.dateFOA2021-07-05T07:48:40Z
refterms.panelBen_GB


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© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.