Computational Modeling of Cardiac Electro-mechanics for Bi-ventricular Region

Abstract

This thesis presents a comprehensive exploration of ventricular computational modeling, focusing on the integration of advanced electromechanical models to enhance our understanding of cardiac function. The study incorporates three key components: the Hodgkin-Orlandini (HO) mechanical model, the O’Hara-Rudy dynamic (ORd-mm) electrophysiological model, and a novel coupling framework designed for comprehensive cardiac simulations. The HO mechanical model, renowned for its accuracy in capturing ventricular mechanical behavior, forms the foundational framework for our study. It provides a detailed representation of myocardial mechanics, enabling the examination of critical aspects such as contractility, strain, and ventricular deformation. To complement the mechanical aspect, we introduce the ORd-mm electrophysiological model, recognized for its ability to simulate a wide range of cardiac electrophysiological phenomena. By integrating this model, our study delves into the intricacies of action potential propagation, ion channel dynamics, and the impact of membrane potentials on cardiac contraction. The innovation in this thesis lies in the development of a robust coupling framework that seamlessly integrates the HO mechanical model and the ORd-mm electrophysiological model. This coupling allows for a bidirectional exchange of information between mechanical and electrophysiological components, enabling the investigation of electromechanical interactions within the ventricular tissue. Such interactions play a pivotal role in understanding phenomena like mechano-electric feedback, where mechanical forces influence electrical activity and vice versa. Through extensive simulations and analyses, this thesis sheds light on the complex interplay between electrical and mechanical events in the ventricles. It offers valuable insights into the mechanistic underpinnings of cardiac arrhythmias, contractile dysfunction, and their potential therapeutic implications. Furthermore, our work opens doors to the development of patient-specific models that can guide clinical decision-making and personalized treatment strategies. In conclusion, the integration of the HO mechanical model, ORd-mm electrophysiological model, and our novel coupling framework represents a significant advancement in ventricular computational modeling. This interdisciplinary approach deepens our comprehension of cardiac function and provides a foundation for future research in cardiac electrophysiology and mechanics, with the ultimate goal of improving patient care and outcomes in cardiology