Key result
New 3-variable epicardial model accurately reproduces experimental data ~43% faster than the minimal ventricular model.
Why the study?
Does the new phenomenological model accurately reproduce human epicardial tissue characteristics more efficiently than existing models?
Does the new phenomenological model accurately reproduce human epicardial tissue characteristics more efficiently than existing models?
Absolute Event Rate: 0.12% vs 0.21%
The proposed phenomenological model of human ventricular epicardial cells accurately reproduces experimental data while being computationally more efficient than existing models.
May enable faster epicardial simulations; leaves open human validation before clinical use.
We present a new phenomenological model of human ventricular epicardial cells and we test its reentry dynamics. The model is derived from the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and represents the total ionic current divided into three contributions corresponding to the excitatory, recovery and transient outward currents. Our model reproduces the main characteristics of human epicardial tissue, including action potential amplitude and morphology, upstroke velocity, and action potential duration and conduction velocity restitution curves. The reentry dynamics is stable, and the dominant period is about 270 ms, which is comparable to clinical values. The proposed model is the first phenomenological model able to accurately resemble human experimental data by using only 3 state variables and 17 parameters. Indeed, it is more computationally efficient than existing models (i.e., almost two times faster than the minimal ventricular model). Beyond the computational efficiency, the low number of parameters facilitates the process of fitting the model to the experimental data.
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Biasi et al. (2021) studied Cardiac electrophysiology (computational modeling). 3-variable phenomenological model vs. Minimal ventricular (MV) model was evaluated on Computational time for a 10 s simulation (seconds). The proposed 3-variable phenomenological model of human epicardial tissue accurately reproduced experimental data and was almost two times faster than the minimal ventricular model.
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