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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.3390/math8060880</dc:identifier><dc:language>eng</dc:language><dc:creator>Barrio, R.</dc:creator><dc:creator>Martinez, M.A.</dc:creator><dc:creator>Perez, L.</dc:creator><dc:creator>Pueyo, E.</dc:creator><dc:title>Bifurcations and Slow-Fast Analysis in a Cardiac Cell Model for Investigation of Early Afterdepolarizations</dc:title><dc:identifier>ART-2020-118460</dc:identifier><dc:description>In this study, we teased out the dynamical mechanisms underlying the generation of arrhythmogenic early afterdepolarizations (EADs) in a three-variable model of a mammalian ventricular cell. Based on recently published studies, we consider a 1-fast, 2-slow variable decomposition of the system describing the cellular action potential. We use sweeping techniques, such as the spike-counting method, and bifurcation and continuation methods to identify parametric regions with EADs. We show the existence of isolas of periodic orbits organizing the different EAD patterns and we provide a preliminary classification of our fast-slow decomposition according to the involved dynamical phenomena. This investigation represents a basis for further studies into the organization of EAD patterns in the parameter space and the involved bifurcations.</dc:description><dc:date>2020</dc:date><dc:source>http://zaguan.unizar.es/record/94456</dc:source><dc:doi>10.3390/math8060880</dc:doi><dc:identifier>http://zaguan.unizar.es/record/94456</dc:identifier><dc:identifier>oai:zaguan.unizar.es:94456</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA-FEDER/E24-17R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/LMP124-18</dc:relation><dc:relation>info:eu-repo/grantAgreement/EC/H2020/638284/EU/Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface/MODELAGE</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 638284-MODELAGE</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2016-75458-R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO-FEDER/MTM2017-87697-P</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-096026-B-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/UZ/CUD2019-CIE-04</dc:relation><dc:identifier.citation>Mathematics 8, 6 (2020), 880 [17 pp]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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