Key result
GPU-based atrial cell modeling simulates fibrillation and fluttering using specific topologies and initial conditions.
Mathematical modeling of atrial cell networks demonstrates that cell topology and initial conditions can simulate the initiation and development of arrhythmias like fibrillation and flutter.
No immediate clinical impact; extends GPU-based modeling of atrial arrhythmia initiation.
With an aperiodic, self-similar distribution of two-dimensional arrangement of atrial cells, it is possible to simulate such phenomena as Fibrillation, Fluttering, and a sequence of Fibrillation-Fluttering. The topology of a network of cells may facilitate the initiation and development of arrhythmias such as Fluttering and Fibrillation. Using a GPU parallel architecture, two basic cell topologies were considered in this simulation, an aperiodic, fractal distribution of connections among 462 cells, and a chessboard-like geometry of 60×60 and 600×600 cells. With a complex set of initial conditions, it is possible to produce tissue behavior that may be identified with arrhythmias. Finally, we found several sets of initial conditions that show how a mesh of cells may exhibit Fibrillation that evolves into Fluttering.
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Garza et al. (2020) studied Arrhythmia (Fibrillation, Fluttering). Cell-to-cell mathematical modeling was evaluated on Simulation of Fibrillation and Fluttering. Mathematical modeling of atrial cells using GPU parallel architecture demonstrated that specific cell topologies and initial conditions can simulate arrhythmias such as fibrillation and fluttering.
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