Key result
Novel relative acceleration model predicts geometric conduction blocks in strongly anisotropic curved tissue.
Why the study?
Locating multidimensional geometric conduction blocks in complex anisotropic cardiac domains is challenging and important for understanding cardiac electrophysiological pathologies.
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A novel mathematical model using relative acceleration can effectively predict geometric conduction blocks in complex, anisotropic domains, which may help in understanding the mechanisms of cardiac fibrillation and arrhythmia.
Geometric conduction blocks stop cardiac electric propagation due to the shape or conductivity properties of the domain. The blocks are considered to cause many abnormal cardiac electric propagations, leading to cardiac electrophysiological pathologies, such as cardiac fibrillation and arrhythmia. Locating such multidimensional conduction blocks is challenging, particularly in a complex domain with a complex shape and strong anisotropy, such as the heart. To address this problem, we propose a novel mathematical model of the geometric conduction block using the relative acceleration adopted from space-time physics. An efficient numerical scheme for the mathematical model is also proposed to predict the unidirectional conduction block effectively, even in a complex domain. The relative acceleration in the cardiac electric propagation corresponds to the sink-source relationship between the excited (after repolarization) and excitable (before depolarization) cardiac cells, representing the geometric growth rate of the volume of metric balls. The trajectory is constructed from the wavefront of diffusion-reaction equations by aligning orthonormal basis vectors along the gradient of the action potential. Relative acceleration is computed along the propagational direction from the connection 1-form of the basis vectors. The proposed mathematical model and numerical scheme are applied to demonstrate geometric conduction blocks in two-dimensional (2D) simple curved domains with strong anisotropy.
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Sehun Chun (2023) studied Cardiac fibrillation and arrhythmia. Mathematical model of geometric conduction block using relative acceleration was evaluated on Prediction of unidirectional conduction block. A novel mathematical model and numerical scheme using relative acceleration successfully demonstrated geometric conduction blocks in two-dimensional simple curved domains with strong anisotropy.
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