A sensitivity study of conductivity values in the passive bidomain equation

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Author(s)
Johnston, Peter R
Griffith University Author(s)
Year published
2011
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There is a complex interplay between the four conductivity values used in the bidomain equation and the resulting electric potential distribution in cardiac tissue arising from subendocardial ischaemia. Based on the three commonly used experimentally derived conductivity data sets, a non-dimensional formulation of the passive bidomain equation is derived, which gives rise naturally to several dimensionless conductivity ratios. The data sets are then used to define a parameter space of these ratios, which is studied by considering the correlation coefficients between different epicardial potential distributions. From this ...
View more >There is a complex interplay between the four conductivity values used in the bidomain equation and the resulting electric potential distribution in cardiac tissue arising from subendocardial ischaemia. Based on the three commonly used experimentally derived conductivity data sets, a non-dimensional formulation of the passive bidomain equation is derived, which gives rise naturally to several dimensionless conductivity ratios. The data sets are then used to define a parameter space of these ratios, which is studied by considering the correlation coefficients between different epicardial potential distributions. From this study, it is shown that the ratio of the intracellular longitudinal conductivity to the intracellular transverse conductivity is the key parameter in explaining the differences between the epicardial potential distributions observed with these three data sets.
View less >
View more >There is a complex interplay between the four conductivity values used in the bidomain equation and the resulting electric potential distribution in cardiac tissue arising from subendocardial ischaemia. Based on the three commonly used experimentally derived conductivity data sets, a non-dimensional formulation of the passive bidomain equation is derived, which gives rise naturally to several dimensionless conductivity ratios. The data sets are then used to define a parameter space of these ratios, which is studied by considering the correlation coefficients between different epicardial potential distributions. From this study, it is shown that the ratio of the intracellular longitudinal conductivity to the intracellular transverse conductivity is the key parameter in explaining the differences between the epicardial potential distributions observed with these three data sets.
View less >
Journal Title
Mathematical Biosciences
Volume
232
Issue
2
Copyright Statement
© 2011 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Mathematical sciences
Biological mathematics
Biological sciences