
Two-scale asymptotic analysis for modeling activation of periodic cardiac strand
This work explores the applicability of two-scale asymptotic analysis to model the excitable cardiac strand with periodic discontinuities. The strand is composed of 60 cells connected by junctions. The membrane excitability is modeled using Ebihara-Johnson equations. The problem is described by a non-linear parabolic equation with one parameter, intracellular conductivity, changing periodically in space. Using two-scale asymptotic analysis, the transmembrane potential is given as a two-scale expansion in powers of the period length. The series converges rapidly, and the solution containing only zero- and first-order terms has a negligible error. Each term of the expansion is found by solving the differential equation derived by decomposing the original problem. The periodic, first-order term is given by a linear elliptic equation and has a closed-form solution. The aperiodic, zero-order term is the solution of a non-linear parabolic equation corresponding to the cardiac strand with homogenized intracellular conductivity; this equation is solved numerically using the Crank-Nicolson method modified to account for the presence of the periodic term. The use of the two-scale asymptotic analysis permits a substantial saving in computer resources over the solution from a purely numerical approach: the problem can be solved with a three times coarser discretization step, requires ten times less memory, and uses about half the computation time. © 1992.
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Related Subject Headings
- Numerical & Computational Mathematics
- 4903 Numerical and computational mathematics
- 4901 Applied mathematics
- 4613 Theory of computation
- 0802 Computation Theory and Mathematics
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics
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Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Numerical & Computational Mathematics
- 4903 Numerical and computational mathematics
- 4901 Applied mathematics
- 4613 Theory of computation
- 0802 Computation Theory and Mathematics
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics