Modeling and simulation of cardiac tissue using hybrid I/O automata

  • Authors:
  • E. Bartocci;F. Corradini;M. R. Di Berardini;E. Entcheva;S. A. Smolka;R. Grosu

  • Affiliations:
  • Department of Mathematics and Computer Science, University of Camerino, Camerino (MC), 62032, Italy and Department of Computer Science, Stony Brook University, Stony Brook, NY, 11794, USA;Department of Mathematics and Computer Science, University of Camerino, Camerino (MC), 62032, Italy;Department of Mathematics and Computer Science, University of Camerino, Camerino (MC), 62032, Italy;Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA;Department of Computer Science, Stony Brook University, Stony Brook, NY, 11794, USA;Department of Computer Science, Stony Brook University, Stony Brook, NY, 11794, USA

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2009

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Abstract

We propose a new biological framework based on the Lynch et al. theory of Hybrid I/O Automata (HIOAs) for modeling and simulating excitable tissue. Within this framework, we view an excitable tissue as a composition of two main kinds of component: a diffusion medium and a collection of cells, both modeled as an HIOA. This approach yields a notion of decomposition that allows us to describe a tissue as the parallel composition of several interacting tissues, a property that could be exploited to parallelize, and hence improve, the efficiency of the simulation process. We also demonstrate the feasibility of our HIOA-based framework to capture and mimic different kinds of wave-propagation behavior in 2D isotropic cardiac tissue, including normal wave propagation along the tissue; the creation of spiral waves; the break-up of spiral waves into more complex patterns such as fibrillation; and the recovery of the tissue to the rest via electrical defibrillation.