[HTML][HTML] Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …
components across multiple spatial (from ion channel to organ) and temporal (from …
The openCARP simulation environment for cardiac electrophysiology
Abstract Background and Objective: Cardiac electrophysiology is a medical specialty with a
long and rich tradition of computational modeling. Nevertheless, no community standard for …
long and rich tradition of computational modeling. Nevertheless, no community standard for …
[HTML][HTML] Electro-mechanical whole-heart digital twins: a fully coupled multi-physics approach
T Gerach, S Schuler, J Fröhlich, L Lindner… - Mathematics, 2021 - mdpi.com
Mathematical models of the human heart are evolving to become a cornerstone of precision
medicine and support clinical decision making by providing a powerful tool to understand …
medicine and support clinical decision making by providing a powerful tool to understand …
Computer modeling of the heart for ECG interpretation—a review
Computer modeling of the electrophysiology of the heart has undergone significant
progress. A healthy heart can be modeled starting from the ion channels via the spread of a …
progress. A healthy heart can be modeled starting from the ion channels via the spread of a …
[HTML][HTML] Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
Integrating spatial information about atrial physiology and anatomy in a single patient from
multimodal datasets, as well as generalizing these data across patients, requires a common …
multimodal datasets, as well as generalizing these data across patients, requires a common …
Constructing a human atrial fibre atlas
Atrial anisotropy affects electrical propagation patterns, anchor locations of atrial reentrant
drivers, and atrial mechanics. However, patient-specific atrial fibre fields and anisotropy …
drivers, and atrial mechanics. However, patient-specific atrial fibre fields and anisotropy …
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
We propose FiberNet, a method to estimate in-vivo the cardiac fiber architecture of the
human atria from multiple catheter recordings of the electrical activation. Cardiac fibers play …
human atria from multiple catheter recordings of the electrical activation. Cardiac fibers play …
[HTML][HTML] A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations
Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the
potential to produce extensive datasets for training of machine learning classifiers to, eg …
potential to produce extensive datasets for training of machine learning classifiers to, eg …
[HTML][HTML] Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
Background Atrial fibrillation (AF) is the most common supraventricular arrhythmia,
characterized by disorganized atrial electrical activity, maintained by localized …
characterized by disorganized atrial electrical activity, maintained by localized …
AugmentA: Patient-specific augmented atrial model generation tool
Digital twins of patients' hearts are a promising tool to assess arrhythmia vulnerability and to
personalize therapy. However, the process of building personalized computational models …
personalize therapy. However, the process of building personalized computational models …