A Cellular Automata Model For Action Potential Propagation Based On Geometric Pattern Of Action Potential

The heart tissue is an excitable media. Cellular Automata is an approach describing cardiac action potential propagation. One of the advantages of Cellular Automata approach over the differential equations based models is its high speed in large scale simulations. Prior Cellular Automata models are not able to eliminate flat edges in the simulated patterns or have large neighborhoods. Moreover, they are not able to match the shape of ventricular action potential to the real ones. In this paper, we present a new model which prevents flat edges creation by using minimum number of neighbors. we also rather preserve the real shape of action potential by using linear curve fitting of a well known electrophysiological model.