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Estimation of the biodomain conductivity parameters of cardiac tissue from extracellular potential distributions initiated by point stimulation

Citation

Graham, LS and Kilpatrick, D, Estimation of the biodomain conductivity parameters of cardiac tissue from extracellular potential distributions initiated by point stimulation, Annals of Biomedical Engineering, 38, (12) pp. 3630-3648. ISSN 0090-6964 (2010) [Refereed Article]

DOI: doi:10.1007/s10439-010-0119-y

Abstract

A method for determining the bidomain conductivity values is developed. The study was generated because the different sets of measured conductivity values reported in the literature each produce significantly different bidomain simulation results. The method involves mapping the propagation of the electrical activation of cardiac tissue, initiated by point stimulation, via extracellular electrodes. A timedependent bidomain model is used to simulate the electrical phenomena. The optimum set of conductivity values is achieved by minimizing the difference between the bidomain model output and the measured extracellular potential, by means of inverse techniques in parameter estimation leastsquares and singular value decomposition. The method is validated with synthetic data with added random noise. Other parameters in the model such as membrane capacitance and fiber angle can also be estimated. The method takes a different approach to the conventional four-electrode technique, as it does not require the small electrode separation needed to separate the extracellular current from the intracellular. © 2010 Biomedical Engineering Society.

Item Details

Item Type:Refereed Article
Research Division:Mathematical Sciences
Research Group:Other mathematical sciences
Research Field:Other mathematical sciences not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the health sciences
UTAS Author:Graham, LS (Dr Leon Graham)
UTAS Author:Kilpatrick, D (Professor David Kilpatrick)
ID Code:65780
Year Published:2010
Web of Science® Times Cited:17
Deposited By:Medicine
Deposited On:2010-12-02
Last Modified:2011-04-19
Downloads:0

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