@article{(Open Science Index):https://publications.waset.org/pdf/11542,
	  title     = {Involving Action Potential Morphology on a New Cellular Automata Model of Cardiac Action Potential Propagation},
	  author    = {F. Pourhasanzade and  S. H. Sabzpoushan},
	  country	= {},
	  institution	= {},
	  abstract     = {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
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {4},
	  number    = {7},
	  year      = {2010},
	  pages     = {275 - 280},
	  ee        = {https://publications.waset.org/pdf/11542},
	  url   	= {https://publications.waset.org/vol/43},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 43, 2010},