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dc.contributor.authorHawks, Claudia
dc.contributor.authorElorza Barbajero, Jorge
dc.contributor.authorEchebarría Domínguez, Blas
dc.contributor.authorRodríguez Cantalapiedra, Inma
dc.contributor.authorPeñaranda Ayllón, Angelina
dc.contributor.authorBragard, Jean
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2016-09-20T12:26:35Z
dc.date.available2016-09-20T12:26:35Z
dc.date.issued2015
dc.identifier.citationHawks, C., Elorza, J., Echebarria, B., Rodriguez Cantalapiedra, I., Peñaranda, A., Bragard, J. Influence of gap junction dynamics on the stability of reentrant waves in cadiac tissue. A: Computing in Cardiology Annual Conference. "Computing in Cardiology 42, 2015". Niza: 2015, p. 437-440.
dc.identifier.isbn0276-6574
dc.identifier.urihttp://hdl.handle.net/2117/90072
dc.description.abstractConstant conductances are often assumed when model- ing cardiac tissue. However experimental evidences have shown that gap junctions (GJ) actually connect adjacent cardiac myocytes. These GJ are complex proteins of the connexin family (Cx40; Cx43; Cx45 are the most common in human). These GJ modify the conductances between cardiac cell through a dynamical process. The aim of this study is to develop a bidomain model of the cardiac tis- sue where the dynamics of the connexins is also included. In particular we will compare the differences associated with the use of a monodomain versus bidomain formula- tion in inducing intra-cellular conductance variations. We have found that the monodomain formulation gives con- ductance variations a factor four to five larger with respect to the bidomain formulation
dc.format.extent4 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Anatomia i fisiologia humana
dc.subject.lcshGap junctions (Cell biology)
dc.titleInfluence of gap junction dynamics on the stability of reentrant waves in cadiac tissue
dc.typeConference report
dc.subject.lemacUnions gap (Biologia cel·lular)
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos
dc.contributor.groupUniversitat Politècnica de Catalunya. GICITED - Grup Interdiciplinari de Ciència i Tecnologia en l'Edificació
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.cinc.org/archives/2015/pdf/0437.pdf
dc.rights.accessOpen Access
local.identifier.drac18733991
dc.description.versionPostprint (published version)
local.citation.authorHawks, C.; Elorza, J.; Echebarria, B.; Rodriguez Cantalapiedra, I.; Peñaranda, A.; Bragard, J.
local.citation.contributorComputing in Cardiology Annual Conference
local.citation.pubplaceNiza
local.citation.publicationNameComputing in Cardiology 42, 2015
local.citation.startingPage437
local.citation.endingPage440


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