Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.
Reduced blood flow in the coronary arteries can lead to damaged heart tissue (myocardial ischaemia). Although one method for detecting myocardial ischaemia involves changes in the ST segment of the electrocardiogram, the relationship between these changes and subendocardial ischaemia is not fully un...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 5; pp. 761 - 781 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129156208&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129156208 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2018 vid: 56 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 129156208 129156208 NLM28933043 129156208 10.1007/s11517-017-1714-y NLM28933043 129156208 ppf: 761 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia. aug: au: Johnston, Barbara M. Coveney, Sam Chang, Eugene T. Y. Johnston, Peter R. Clayton, Richard H. affil: Queensland Micro- and Nanotechnology Centre and School of Natural Sciences, Griffith University, 4111, Nathan, QLD, Australia sug: subj: Uncertainty Myocardial Ischemia Pathology Models, Biological Pericardium Pathology Action Potentials Physiology Animals Algorithms Computer Simulation Heart Conduction System Physiology Regression Funding Source Human ab: Reduced blood flow in the coronary arteries can lead to damaged heart tissue (myocardial ischaemia). Although one method for detecting myocardial ischaemia involves changes in the ST segment of the electrocardiogram, the relationship between these changes and subendocardial ischaemia is not fully understood. In this study, we modelled ST-segment epicardial potentials in a slab model of cardiac ventricular tissue, with a central ischaemic region, using the bidomain model, which considers conduction longitudinal, transverse and normal to the cardiac fibres. We systematically quantified the effect of uncertainty on the input parameters, fibre rotation angle, ischaemic depth, blood conductivity and six bidomain conductivities, on outputs that characterise the epicardial potential distribution. We found that three typical types of epicardial potential distributions (one minimum over the central ischaemic region, a tripole of minima, and two minima flanking a central maximum) could all occur for a wide range of ischaemic depths. In addition, the positions of the minima were affected by both the fibre rotation angle and the ischaemic depth, but not by changes in the conductivity values. We also showed that the magnitude of ST depression is affected only by changes in the longitudinal and normal conductivities, but not by the transverse conductivities. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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