A numerical scheme for modeling wavefront propagation on a monolayer of arbitrary geometry

Details

Serval ID
serval:BIB_C94849ED608D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A numerical scheme for modeling wavefront propagation on a monolayer of arbitrary geometry
Journal
IEEE Transactions on Biomedical Engineering
Author(s)
Zozor  S., Blanc  O., Jacquemet  V., Virag  N., Vesin  J. M., Pruvot  E., Kappenberger  L., Henriquez  C.
ISSN
0018-9294 (Print)
Publication state
Published
Issued date
04/2003
Volume
50
Number
4
Pages
412-20
Notes
Evaluation Studies
Journal Article
Research Support, Non-U.S. Gov't --- Old month value: Apr
Abstract
The majority of models of wavefront propagation in cardiac tissue have assumed relatively simple geometries. Extensions to complicated three-dimensional (3-D) representations are computationally challenging due to issues related both to problem size and to the correct implementation of flux conservation. In this paper, we present a generalized finite difference scheme (GDFS) to simulate the reaction-diffusion system on a 3-D monolayer of arbitrary shape. GDFS is a vertex-centered variant of the finite-volume method that ensures local flux conservation. Owing to an effectively lower dimensionality, the overall computation time is reduced compared to full 3-D models at the same spatial resolution. We present the theoretical background to compute both the wavefront conduction and local electrograms using a matrix formulation. The same matrix is used for both these quantities. We then give some results of simulation for simple monolayers and complex monolayers resembling a human atria.
Keywords
*Algorithms Body Surface Potential Mapping/methods Computer Simulation Electrocardiography/*methods Electromagnetic Fields Heart/*physiology Heart Conduction System/*physiology Humans Membrane Potentials/physiology *Models, Cardiovascular Myocytes, Cardiac/physiology
Pubmed
Web of science
Create date
28/01/2008 11:04
Last modification date
20/08/2019 16:44
Usage data