Author(s):
1. Bogdan Milićević, Fakultet inženjerskih nauka Univerziteta u Kragujevcu, Serbia
2. Nenad Filipović, Univerzitet u Kragujevcu, Serbia

Abstract:
Accurate estimation of electrophysiological parameters is essential for understanding and modeling the dynamic behavior of cardiac tissue throughout the entire cardiac cycle, which includes the phases of depolarization, repolarization, and the refractory period. These phases form the basis for the generation and propagation of action potentials that coordinate the rhythmic contractions of the heart. In this paper, we present a parameter estimation framework based on evolutionary strategies, specifically the Differential Evolution (DE) method, as a robust tool for identifying hidden parameters in nonlinear cardiac electrophysiology models. DE, as a population-based global optimization algorithm, is particularly well-suited for addressing problems characterized by high nonlinearity and dimensionality, which are inherent to biological systems.

Key words:
left ventricle,evolutionary computation,optimization,electrophysiology,action potentials,leva komora,evolucioni algoritmi,optimizacija,elektrofiziologija,akcioni potencijali

Date of abstract submission:
06.08.2025.

Conference:
Contemporary Materials 2025 - Savremeni Materijali

Applied paper from author