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Optimal monodomain approximations of the bidomain equations used in cardiac electrophysiology

Abstract : The bidomain model is the current most sophisticated model used in cardiac electrophysiology. The monodomain model is a simplification of the bidomain model that is less computationally intensive but only valid under equal conductivity ratio. We propose in this paper optimal monodomain approximations of the bidomain model. We first prove that the error between the bidomain and monodomain solutions is bounded by the error $\|B-A\|$ between the bidomain and monodomain conductivity operators. Optimal monodomain approximations are defined by minimizing the distance $\|B-A\|$, which reduces for solutions over all $\rr^d$ to minimize the $L^p$ norm of the difference between the operator symbols. Similarly, comparing the symbols pointwise amounts to compare the propagation of planar waves in the bidomain and monodomain models. We prove that any monodomain model properly propagates at least $d$ planar waves in $\rr^d$. We next consider and solve the optimal problem in the $L^\infty$ and $L2$ norms, the former providing minimal propagation error uniformly over all directions. The quality of these optimal monodomain approximations is compared among themselves and with other published approximations using two sets of test cases. The first one uses periodic boundary conditions to mimic propagation in $\rr^d$ while the second is based on a square domain with common Neumann boundary conditions. For the first test cases, we show that the error on the propagation speed is highly correlated with the error on the symbols. The second test cases show that domain boundaries control propagation directions, with only partial impact from the conductivity operator used.
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Contributor : Yves Coudière <>
Submitted on : Wednesday, November 23, 2011 - 10:23:04 PM
Last modification on : Monday, July 20, 2020 - 1:06:04 PM
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Yves Coudière, Yves Bourgault, Myriam Rioux. Optimal monodomain approximations of the bidomain equations used in cardiac electrophysiology. Mathematical Models and Methods in Applied Sciences, World Scientific Publishing, 2014, 24 (6), pp.1115-1140. ⟨10.1142/S0218202513500784⟩. ⟨hal-00644257⟩



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