Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac
function in a non-invasive manner, making them a promising approach for personalized …

State-space modeling (SSM) provides a general framework for many image reconstruction
tasks. Error in a priori physiological knowledge of the imaging physics, can bring …

Cardiac digital twins are personalized virtual representations used to understand complex
heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart …

This study introduces an innovative approach combining deep-learning techniques with
classical physics-based electrocardiographic imaging (ECGI) methods. Our objective is to …

Objective. This study aims to assess the sensitivity of epicardial potential-based
electrocardiographic imaging (ECGI) to the removal or interpolation of bad leads. Approach …

Objective. The primary aim of our study is to advance our understanding and diagnosis of
cardiac diseases. We focus on the reconstruction of myocardial transmembrane potential …

The recovery of cardiac transmembrane potential (TMP) from body surface potential (BSP)
or so-called electrocardiogram imaging (ECGI) is a critical non-invasive reconstruction …

Cardiovascular diseases (CVDs) continue to be a leading cause of morbidity and mortality
worldwide [1]. These diseases encompass a vast spectrum of disorders affecting the heart …