Literature DB >> 11759918

The importance of anisotropy in modeling ST segment shift in subendocardial ischaemia.

P R Johnston1, D Kilpatrick, C Y Li.   

Abstract

In this paper, a simple mathematical model of a slab of cardiac tissue is presented in an attempt to better understand the relationship between subendocardial ischaemia and the resulting epicardial potential distributions. The cardiac tissue is represented by the bidomain model where tissue anisotropy and fiber rotation have been incorporated with a view to predicting the epicardial surface potential distribution. The source of electric potential in this steady-state problem is the difference between plateau potentials in normal and ischaemic tissue, where it is assumed that ischaemic tissue has a lower plateau potential. Simulations with tissue anisotropy and no fiber rotation are also considered. Simulations are performed for various thicknesses of the transition region between normal and ischaemic tissue and for various sizes of the ischaemic region. The simulated epicardial potential distributions, based on an anisotropic model of the cardiac tissue, show that there are large potential gradients above the border of the ischaemic region and that there are dips in the potential distribution above the region of ischaemia. It could be concluded from the simulations that it would be possible to predict the region of subendocardial ischaemia from the epicardial potential distribution, a conclusion contrary to observed experimental data. Possible reasons for this discrepancy are discussed. In the interests of mathematical simplicity, isotropic models of the cardiac tissue are also considered, but results from these simulations predict epicardial potential distributions vastly different from experimental observations. A major conclusion from this work is that tissue anisotropy and fiber rotation must be included to obtain meaningful and realistic epicardial potential distributions.

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Year:  2001        PMID: 11759918     DOI: 10.1109/10.966596

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  A multi-electrode array and inversion technique for retrieving six conductivities from heart potential measurements.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2013-07-28       Impact factor: 2.602

2.  The role of extracellular potassium transport in computer models of the ischemic zone.

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3.  Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations.

Authors:  B M Burton; K K Aras; W W Good; J D Tate; B Zenger; R S MacLeod
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Review 4.  Modeling cardiac ischemia.

Authors:  Blanca Rodríguez; Natalia Trayanova; Denis Noble
Journal:  Ann N Y Acad Sci       Date:  2006-10       Impact factor: 5.691

Review 5.  Approaches for determining cardiac bidomain conductivity values: progress and challenges.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2020-10-22       Impact factor: 2.602

6.  ST segment depression: the possible role of global repolarization dynamics.

Authors:  Bruce Hopenfeld
Journal:  Biomed Eng Online       Date:  2007-02-09       Impact factor: 2.819

Review 7.  Remodeling of cardiac passive electrical properties and susceptibility to ventricular and atrial arrhythmias.

Authors:  Stefan Dhein; Thomas Seidel; Aida Salameh; Joanna Jozwiak; Anja Hagen; Martin Kostelka; Gerd Hindricks; Friedrich-Wilhelm Mohr
Journal:  Front Physiol       Date:  2014-11-03       Impact factor: 4.566

8.  Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.

Authors:  Barbara M Johnston; Sam Coveney; Eugene T Y Chang; Peter R Johnston; Richard H Clayton
Journal:  Med Biol Eng Comput       Date:  2017-09-20       Impact factor: 2.602

  8 in total

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