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Involving Action Potential Morphology on a New Cellular Automata Model of Cardiac Action Potential Propagation

Authors: S. H. Sabzpoushan, F. Pourhasanzade


Computer modeling has played a unique role in understanding electrocardiography. Modeling and simulating cardiac action potential propagation is suitable for studying normal and pathological cardiac activation. This paper presents a 2-D Cellular Automata model for simulating action potential propagation in cardiac tissue. We demonstrate a novel algorithm in order to use minimum neighbors. This algorithm uses the summation of the excitability attributes of excited neighboring cells. We try to eliminate flat edges in the result patterns by inserting probability to the model. We also preserve the real shape of action potential by using linear curve fitting of one well known electrophysiological model.

Keywords: cellular automata, cardiac tissue, Action Potential Propagation, Isotropic Pattern, accurate shape of cardiac actionpotential

Digital Object Identifier (DOI):

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