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Space-discretization error analysis and stabilization schemes for conduction velocity in cardiac electrophysiology
- Source :
- International Journal for Numerical Methods in Biomedical Engineering. 32:e02762
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- In cardiac electrophysiology, the propagation of the action potential may be described by a set of reaction-diffusion equations known as the bidomain model. The shape of the solution is determined by a balance of a strong reaction and a relatively weak diffusion, which leads to steep variations in space and time. From a numerical point of view, the sharp spatial gradients may be seen as particularly problematic, because computational grid resolution on the order of 0.1 mm or less is required, yielding considerable computational efforts on human geometries. In this paper, we discuss a number of well-known numerical schemes for the bidomain equation and show how the quality of the solution is affected by the spatial discretization. In particular, we study in detail the effect of discretization on the conduction velocity (CV), which is an important quantity from a physiological point of view. We show that commonly applied finite element techniques tend to overestimate the CV on coarse grids, while it tends to be underestimated by finite difference schemes. Furthermore, the choice of interpolation and discretization scheme for the nonlinear reaction term has a strong impact on the CV. Finally, we exploit the results of the error analysis to propose improved numerical methods, including a stabilized scheme that tends to correct the CV on coarse grids but converges to the correct solution as the grid is refined. Copyright © 2016 John Wiley & Sons, Ltd.
- Subjects :
- Discretization
Applied Mathematics
Numerical analysis
0206 medical engineering
Biomedical Engineering
Finite difference
Bidomain model
02 engineering and technology
Grid
020601 biomedical engineering
01 natural sciences
Finite element method
010101 applied mathematics
Nonlinear system
Computational Theory and Mathematics
Control theory
Modeling and Simulation
Applied mathematics
0101 mathematics
Molecular Biology
Software
Mathematics
Interpolation
Subjects
Details
- ISSN :
- 20407939
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- International Journal for Numerical Methods in Biomedical Engineering
- Accession number :
- edsair.doi...........7b7a2d26efa5e85f50744a1e270fb03f
- Full Text :
- https://doi.org/10.1002/cnm.2762