Electrocardiographic imaging (ECGI) reconstructs the electrical activity of the heart from a
dense array of body-surface electrocardiograms and a patient-specific heart-torso geometry …

Cardiac digital twins (CDTs) are personalized virtual representations used to understand
complex cardiac mechanisms. A critical component of CDT development is solving the ECG …

This book covers the main mathematical and numerical models in computational
electrocardiology, ranging from microscopic membrane models of cardiac ionic channels to …

Objective: This paper proposes a novel method to localize origins of premature ventricular
contractions (PVCs) from 12-lead electrocardiography (ECG) using convolutional neural …

Personalized noninvasive imaging of subject-specific cardiac electrical activity can guide
and improve preventive diagnosis and treatment of cardiac arrhythmia. Compared to body …

In this chapter, we review the concepts, principles, and potential applications of cardiac
electrophysiological imaging. First, the idea and history of the ECG inverse problem is …

We propose a new electrocardiographic (ECG) inverse approach for imaging the three-
dimensional (3-D) ventricular activation sequence based on the modeling and estimation of …

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 …

Imaging the myocardial activation sequence is critical for improved diagnosis and treatment
of life-threatening cardiac arrhythmias. It is desirable to reveal the underlying cardiac …

Background With increasing clinical use of Electrocardiographic Imaging (ECGI), it is
imperative to understand the limits of this technique. The objective of this study is to evaluate …