New index for categorising cardiac reentrant wave: in silico evaluation

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dc.contributor.authorShim, E. B.ko
dc.contributor.authorHong, S-B.ko
dc.contributor.authorLim, K. M.ko
dc.contributor.authorLeem, C. H.ko
dc.contributor.authorYoun, ChanHyunko
dc.contributor.authorPak, H-N.ko
dc.contributor.authorEarm, Y. E.ko
dc.contributor.authorNoble, D.ko
dc.date.accessioned2013-03-11T13:16:33Z-
dc.date.available2013-03-11T13:16:33Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2011-09-
dc.identifier.citationIET SYSTEMS BIOLOGY, v.5, no.5, pp.317 - 323-
dc.identifier.issn1751-8849-
dc.identifier.urihttp://hdl.handle.net/10203/99408-
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.languageEnglish-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.subjectACTION-POTENTIAL DURATION-
dc.subjectHUMAN VENTRICULAR TISSUE-
dc.subjectELECTRICAL TURBULENCE-
dc.subjectFIBRILLATION-
dc.subjectCONDUCTION-
dc.subjectALTERNANS-
dc.subjectMODEL-
dc.titleNew index for categorising cardiac reentrant wave: in silico evaluation-
dc.typeArticle-
dc.identifier.wosid000296557800004-
dc.identifier.scopusid2-s2.0-80054683485-
dc.type.rimsART-
dc.citation.volume5-
dc.citation.issue5-
dc.citation.beginningpage317-
dc.citation.endingpage323-
dc.citation.publicationnameIET SYSTEMS BIOLOGY-
dc.contributor.localauthorYoun, ChanHyun-
dc.contributor.nonIdAuthorShim, E. B.-
dc.contributor.nonIdAuthorHong, S-B.-
dc.contributor.nonIdAuthorLim, K. M.-
dc.contributor.nonIdAuthorLeem, C. H.-
dc.contributor.nonIdAuthorPak, H-N.-
dc.contributor.nonIdAuthorEarm, Y. E.-
dc.contributor.nonIdAuthorNoble, D.-
dc.type.journalArticleArticle-
dc.subject.keywordPlusACTION-POTENTIAL DURATION-
dc.subject.keywordPlusHUMAN VENTRICULAR TISSUE-
dc.subject.keywordPlusELECTRICAL TURBULENCE-
dc.subject.keywordPlusFIBRILLATION-
dc.subject.keywordPlusCONDUCTION-
dc.subject.keywordPlusALTERNANS-
dc.subject.keywordPlusMODEL-
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