Modeling specific action potentials in the human atria based on a minimal reaction-diffusion model

TL;DR

This paper introduces a method to accurately model patient-specific human atrial action potentials using a minimal reaction-diffusion model with optimized ionic current parameters, aiding clinical diagnosis.

Contribution

It adapts a minimal electrophysiological model to human atria and employs nonlinear optimization to fit individual action potential characteristics.

Findings

Successfully reproduces patient-specific action potentials

Demonstrates potential for clinical diagnostic support

Provides a computational framework for personalized cardiac modeling

Abstract

We present an effective method to model empirical action potentials of specific patients in the human atria based on the minimal model of Bueno-Orovio, Cherry and Fenton adapted to atrial electrophysiology. In this model, three ionic are currents introduced, where each of it is governed by a characteristic time scale. By applying a nonlinear optimization procedure, a best combination of the respective time scales is determined, which allows one to reproduce specific action potentials with a given amplitude, width and shape. Possible applications for supporting clinical diagnosis are pointed out.