Literature DB >> 12665028

The effect of conductivity values on ST segment shift in subendocardial ischaemia.

Peter R Johnston1, David Kilpatrick.   

Abstract

The aim of this study was to investigate the effect of different conductivity values on epicardial surface potential distributions on a slab of cardiac tissue. The study was motivated by the large variation in published bidomain conductivity parameters available in the literature. Simulations presented are based on a previously published bidomain model and solution technique which includes fiber rotation. Three sets of conductivity parameters are considered and an alternative set of nondimensional parameters relating the tissue conductivities to blood conductivity is introduced. These nondimensional parameters are then used to study the relative effect of blood conductivity on the epicardial potential distributions. Each set of conductivity parameters gives rise to a distinct set of epicardial potential distributions, both in terms of morphology and magnitude. Unfortunately, the differences between the potential distributions cannot be explained by simple combinations of the conductivity values or the resulting dimensionless parameters.

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Year:  2003        PMID: 12665028     DOI: 10.1109/TBME.2002.807660

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


  7 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.  Uncertainty Visualization in Forward and Inverse Cardiac Models.

Authors:  Brett M Burton; Burak Erem; Kristin Potter; Paul Rosen; Chris R Johnson; Dana H Brooks; Rob S Macleod
Journal:  Comput Cardiol (2010)       Date:  2013

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

Authors:  Mark Potse; Ruben Coronel; A-Robert LeBlanc; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2007-10-30       Impact factor: 2.602

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

Review 6.  Mathematical modeling and simulation of ventricular activation sequences: implications for cardiac resynchronization therapy.

Authors:  Mark Potse
Journal:  J Cardiovasc Transl Res       Date:  2012-01-27       Impact factor: 4.132

7.  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

  7 in total

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