A Kernel-free Boundary Integral Method for the Bidomain Equations
Xindan Gao, Li Cai, Craig S. Henriquez, and Wenjun Ying

TL;DR
This paper introduces a kernel-free boundary integral (KFBI) method for efficiently solving the linear diffusion part of the bidomain equations in complex cardiac tissue geometries, achieving second-order accuracy without requiring Green's functions.
Contribution
The paper presents a novel kernel-free boundary integral method that simplifies boundary integral solutions for the bidomain equations on complex domains, avoiding explicit Green's functions.
Findings
Achieves second-order accuracy in numerical solutions.
Effectively simulates wave propagation in 2D and 3D cardiac models.
Demonstrates efficiency with fast elliptic solvers.
Abstract
The bidomain equations have been widely used to mathematically model the electrical activity of the cardiac tissue. In this work, we present a potential theory-based Cartesian grid method which is referred as the kernel-free boundary integral (KFBI) method which works well on complex domains to efficiently simulate the linear diffusion part of the bidomain equation. After a proper temporal discretization, the KFBI method is applied to solve the resulting homogeneous Neumann boundary value problems with a second-order accuracy. According to the potential theory, the boundary integral equations reformulated from the boundary value problems can be solved iteratively with the simple Richardson iteration or the Krylov subspace iteration method. During the iteration, the boundary and volume integrals are evaluated by limiting the structured grid-based discrete solutions of the equivalent…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectromagnetic Scattering and Analysis · Electromagnetic Simulation and Numerical Methods · Advanced Numerical Methods in Computational Mathematics
