Detalle de: Reentry Near the Percolation Threshold in a Heterogeneous Discrete Model for Cardiac Tissue
| Title | Reentry Near the Percolation Threshold in a Heterogeneous Discrete Model for Cardiac Tissue |
| Abstract |
Arrhythmias in cardiac tissue are related to irregular electrical wave propagation in the heart. Cardiac tissue is formed by a discrete cell network, which is often heterogeneous. A localized region with a fraction of nonconducting links surrounded by homogeneous conducting tissue can become a source of reentry and ectopic beats. Extensive simulations in a discrete model of cardiac tissue show that a wave crossing a heterogeneous region of cardiac tissue can disintegrate into irregular patterns, provided the fraction of nonconducting links is close to the percolation threshold of the cell network. The dependence of the reentry probability on this fraction, the system size, and the degree of excitability can be inferred from the size distribution of nonconducting clusters near the percolation threshold. |
| Apa Reference | Alonso, S., & Bär, M. (2013). Reentry Near the Percolation Threshold in a Heterogeneous Discrete Model for Cardiac Tissue. Physical Review Letters, 110(15). 10.1103/physrevlett.110.158101 |
| Doi | 10.1103/PhysRevLett.110.158101 |
| Publication Date | 9 Apr 2013 |
| Publication Type | Article |
| Researcher | Sergio Alonso Muñoz |
| Ontology | Computational models and simulations |
| Research Groups | Computational Biology and Complex Systems (BIOCOMSC) |
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