Modeling and simulation of cardiac tissue using hybrid I/O automata
Modeling and simulation of cardiac tissue using hybrid I/O automata
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DOI：
10.1016/j.tcs.2009.02.042
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发表时间：
2009-08
期刊：
影响因子：
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通讯作者：
E. Bartocci;F. Corradini;M. R. D. Berardini;E. Entcheva;S. Smolka;R. Grosu
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文献类型：
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作者：
E. Bartocci;F. Corradini;M. R. D. Berardini;E. Entcheva;S. Smolka;R. Grosu
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.
