Department of Information Engineering, University of Pisa, Pisa, Italy.
Research Centre "E. Piaggio", University of Pisa, Pisa, Italy.
PLoS One. 2021 Oct 26;16(10):e0259066. doi: 10.1371/journal.pone.0259066. eCollection 2021.
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.
我们提出了一种新的人心室心外膜细胞的现象学模型，并对其折返动力学进行了测试。该模型源自罗杰斯-麦卡洛克对菲茨休-纳格姆方程的表述，代表了总离子电流分为对应于兴奋性、恢复性和瞬间外向电流的三个贡献。我们的模型再现了人心外膜组织的主要特征，包括动作电位幅度和形态、上升速度以及动作电位持续时间和传导速度恢复曲线。折返动力学是稳定的，主导周期约为 270 毫秒，与临床值相当。所提出的模型是第一个仅使用 3 个状态变量和 17 个参数就能准确模拟人类实验数据的现象学模型。事实上，它比现有的模型（即比最小心室模型快近两倍）更具计算效率。除了计算效率之外，参数数量少还便于模型拟合实验数据的过程。
