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dc.contributor.authorJohnston, Barbara M
dc.contributor.authorJohnston, Peter R
dc.contributor.editorMurray, A
dc.date.accessioned2017-11-22T12:00:23Z
dc.date.available2017-11-22T12:00:23Z
dc.date.issued2014
dc.identifier.issn2325-8861
dc.identifier.refuriwww.cinc.org
dc.identifier.urihttp://hdl.handle.net/10072/67951
dc.description.abstractAlthough realistic cardiac electrophysiological simulations require accurate model parameters, no fully experimentally determined sets of six cardiac conductivity values exist. The present authors have recently proposed a method to determine the six bidomain conductivity values, for the extra- and intracellular domains in the longitudinal, transverse and normal directions, from measurements of potential made in cardiac tissue in vivo. The method uses a 3D mathematical model, a microelectrode measuring array and a novel inversion technique, which retrieves the conductivities and the fibre rotation angle from the potential measurements. In this work, a number of different data analysis methods are compared for realistically large sets of these simulated potential measurements and the best method is identified. Using synthetic data it is found that the three extracellular conductivities can be retrieved extremely accurately, with relative errors of less than 5%, even with noise of up to 40% added to the potential measurements. In addition, the intracellular longitudinal conductivity and the fibre rotation can be retrieved with relative errors at worst around the added noise. The intracellular transverse and normal conductivities are often more difficult to retrieve, with relative errors of around four times the added noise.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent137251 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE Press
dc.publisher.placeUnited States
dc.publisher.urihttp://cinc2014.org/
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename41st Computing in Cardiology Conference (CinC)
dc.relation.ispartofconferencetitle2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41
dc.relation.ispartofdatefrom2014-09-07
dc.relation.ispartofdateto2014-09-10
dc.relation.ispartoflocationCambridge, MA
dc.relation.ispartofpagefrom533
dc.relation.ispartofpagefrom4 pages
dc.relation.ispartofpageto536
dc.relation.ispartofpageto4 pages
dc.relation.ispartofissueJanuary
dc.relation.ispartofvolume41
dc.rights.retentionY
dc.subject.fieldofresearchBiological Mathematics
dc.subject.fieldofresearchcode010202
dc.titleHow accurately can cardiac conductivity values be determined from heart potential measurements?
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Natural Sciences
gro.rights.copyright© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.date.issued2015-05-21T02:40:23Z
gro.hasfulltextFull Text
gro.griffith.authorJohnston, Barbara M.
gro.griffith.authorJohnston, Peter R.


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