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Cited 2 times in

New index for categorising cardiac reentrant wave: in silico evaluation

DC Field Value Language
dc.contributor.author박희남-
dc.date.accessioned2014-12-20T17:37:55Z-
dc.date.available2014-12-20T17:37:55Z-
dc.date.issued2011-
dc.identifier.issn1751-8849-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/94967-
dc.description.abstractBased on the similarity between a reentrant wave in cardiac tissue and a vortex in fluid dynamics, the authors hypothesised that a new non-dimensional index, like the Reynolds number in fluid dynamics, may play a critical role in categorising reentrant wave dynamics. Therefore the goal of the present study is to devise a new index to characterise electric wave conduction in cardiac tissue and examined whether this index can be used as a biomarker for categorising the reentrant wave pattern in cardiac tissue. Similar to the procedure used to derive the Reynolds number in fluid dynamics, the authors used a non-dimensionalisation technique to obtain the new index. Its usefulness was verified using a two-dimensional simulation model of electrical wave propagation in cardiac tissue. The simulation results showed that electrical waves in cardiac tissue move into an unstable region when the index exceeds a threshold value.-
dc.description.statementOfResponsibilityopen-
dc.format.extent317~323-
dc.relation.isPartOfIET SYSTEMS BIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAction Potentials-
dc.subject.MESHArrhythmias, Cardiac/physiopathology-
dc.subject.MESHBiomarkers/metabolism-
dc.subject.MESHCardiology/methods-
dc.subject.MESHComputational Biology-
dc.subject.MESHComputer Simulation-
dc.subject.MESHElectrophysiology/methods-
dc.subject.MESHHeart/physiology*-
dc.subject.MESHHeart Conduction System/physiology*-
dc.subject.MESHHumans-
dc.subject.MESHModels, Cardiovascular*-
dc.subject.MESHModels, Theoretical-
dc.subject.MESHReference Standards-
dc.subject.MESHRheology/methods-
dc.subject.MESHSystems Biology/methods-
dc.titleNew index for categorising cardiac reentrant wave: in silico evaluation-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorE.B. Shim-
dc.contributor.googleauthorS.-B. Hong-
dc.contributor.googleauthorK.M. Lim-
dc.contributor.googleauthorC.H. Leem-
dc.contributor.googleauthorC.-H. Youn-
dc.contributor.googleauthorH.-N. Pak-
dc.contributor.googleauthorY.E. Earm-
dc.contributor.googleauthorD. Noble-
dc.identifier.doi10.1049/iet-syb.2011.0019-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01776-
dc.relation.journalcodeJ01031-
dc.identifier.pmid22010758-
dc.identifier.urlhttp://digital-library.theiet.org/content/journals/10.1049/iet-syb.2011.0019-
dc.contributor.alternativeNamePak, Hui Nam-
dc.contributor.affiliatedAuthorPak, Hui Nam-
dc.rights.accessRightsnot free-
dc.citation.volume5-
dc.citation.number5-
dc.citation.startPage317-
dc.citation.endPage323-
dc.identifier.bibliographicCitationIET SYSTEMS BIOLOGY, Vol.5(5) : 317-323, 2011-
dc.identifier.rimsid26952-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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