From bits to bedside: entering the age of digital twins in cardiac electrophysiology
Abstract This State of the Future Review describes and discusses the potential
transformative power of digital twins in cardiac electrophysiology. In this 'big …
transformative power of digital twins in cardiac electrophysiology. In this 'big …
Quantifying variabilities in cardiac digital twin models of the electrocardiogram
Cardiac digital twins (CDTs) of human cardiac electrophysiology (EP) are digital replicas of
patient hearts that match like-for-like clinical observations. The electrocardiogram (ECG), as …
patient hearts that match like-for-like clinical observations. The electrocardiogram (ECG), as …
Probabilistic learning of the Purkinje network from the electrocardiogram
F Álvarez-Barrientos, M Salinas-Camus, S Pezzuto… - Medical Image …, 2025 - Elsevier
The identification of the Purkinje conduction system in the heart is a challenging task, yet
essential for a correct definition of cardiac digital twins for precision cardiology. Here, we …
essential for a correct definition of cardiac digital twins for precision cardiology. Here, we …
An integrated heart–torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation
When generating in-silico clinical electrophysiological outputs, such as electrocardiograms
(ECGs) and body surface potential maps (BSPMs), mathematical models have relied on …
(ECGs) and body surface potential maps (BSPMs), mathematical models have relied on …
Digital twinning of cardiac electrophysiology for congenital heart disease
In recent years, blending mechanistic knowledge with machine learning has had a major
impact in digital healthcare. In this work, we introduce a computational pipeline to build …
impact in digital healthcare. In this work, we introduce a computational pipeline to build …
[HTML][HTML] A Matlab Toolbox for cardiac electrophysiology simulations on patient-specific geometries
In this paper, we present CardioMat, a Matlab toolbox for cardiac electrophysiology
simulation based on patient-specific anatomies. The strength of CardioMat is the easy and …
simulation based on patient-specific anatomies. The strength of CardioMat is the easy and …
Ensemble learning of the atrial fiber orientation with physics-informed neural networks
The anisotropic structure of the myocardium is a key determinant of the cardiac function. To
date, there is no imaging modality to assess in-vivo the cardiac fiber structure. We recently …
date, there is no imaging modality to assess in-vivo the cardiac fiber structure. We recently …
Accurate and Efficient Cardiac Digital Twin from surface ECGs: Insights into Identifiability of Ventricular Conduction System
Digital twins for cardiac electrophysiology are an enabling technology for precision
cardiology. Current forward models are advanced enough to simulate the cardiac electric …
cardiology. Current forward models are advanced enough to simulate the cardiac electric …
An integrated heart-torso electromechanical model for the simulation of electrophysiogical outputs accounting for myocardial deformation
When generating in-silico clinical electrophysiological outputs, such as electrocardiograms
(ECGs) and body surface potential maps (BSPMs), mathematical models have relied on …
(ECGs) and body surface potential maps (BSPMs), mathematical models have relied on …
An eikonal model with re-excitability for fast simulations in cardiac electrophysiology
Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac
arrhythmias. However, detailed models, such as the monodomain model, are …
arrhythmias. However, detailed models, such as the monodomain model, are …