Work

Investigating the Impact of Parameter Selection on Reentry Characteristics in a 3D Slab Simulation

Year: 2024

Type: conference-paper

Abstract: Cardiac computational modeling has been extensively employed to investigate the mechanisms underlying various cardiac arrhythmias.A three-dimensional (3D) tissue model (4 cm × 4 cm × 0.04 cm) was created using a tetrahedral mesh to study tissue-scale properties.The single-cell model published by Tomek et al. was integrated into the 3D tissue model, and simulations were conducted using openCARP.The parameter selection included two discretization methods (uniform and adaptive tetrahedral meshes), timesteps ranging from 5 to 20 μs, and three initialization state variable generation methods: default model states (default), pacing the singlecell model 10 times with a basic cycle length of 600 ms (sv_init), and pre-pacing the 3D tissue model for 10 cycles with default model states (pre-pace).The results indicate that reentry characteristics in the 3D slab simulation were significantly influenced by different parameter selections.Careful selection of appropriate parameters in cardiac modeling is crucial for accurately interpreting the mechanisms of arrhythmia.

Source: Computing in cardiology

DOI: 10.22489/cinc.2024.153