The digital journey: 25 years of digital development in electrophysiology from an Europace perspective

E Svennberg, EG Caiani, N Bruining, L Desteghe… - Europace, 2023 - academic.oup.com
Aims Over the past 25 years there has been a substantial development in the field of digital
electrophysiology (EP) and in parallel a substantial increase in publications on digital …

MedalCare-XL: 16,900 healthy and pathological synthetic 12 lead ECGs from electrophysiological simulations

K Gillette, MAF Gsell, C Nagel, J Bender, B Winkler… - Scientific Data, 2023 - nature.com
Mechanistic cardiac electrophysiology models allow for personalized simulations of the
electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface …

ECG modeling for simulation of arrhythmias in time-varying conditions

L Bachi, H Halvaei, C Pérez… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The present article proposes an ECG simulator that advances modeling of arrhythmias and
noise by introducing time-varying signal characteristics. The simulator is built around a …

Comparison of propagation models and forward calculation methods on cellular, tissue and organ scale atrial electrophysiology

C Nagel, CB Espinosa, K Gillette… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: The bidomain model and the finite element method are an established standard
to mathematically describe cardiac electrophysiology, but are both suboptimal choices for …

Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning

N Pilia, S Schuler, M Rees, G Moik… - Artificial Intelligence in …, 2023 - Elsevier
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25%
are categorized as sudden cardiac death, which can be related to ventricular tachycardia …

The use of artificial intelligence for detecting and predicting atrial arrhythmias post catheter ablation

PN Lallah, C Laite, AB Bangash… - Reviews in …, 2023 - pmc.ncbi.nlm.nih.gov
Catheter ablation (CA) is considered as one of the most effective methods technique for
eradicating persistent and abnormal cardiac arrhythmias. Nevertheless, in some cases …

Artificial intelligence-enabled electrocardiogram to distinguish cavotricuspid isthmus dependence from other atrial tachycardia mechanisms

A Sau, S Ibrahim, A Ahmed, B Handa… - … Heart Journal-Digital …, 2022 - academic.oup.com
Aims Accurately determining atrial arrhythmia mechanisms from a 12-lead
electrocardiogram (ECG) can be challenging. Given the high success rate of cavotricuspid …

Global sensitivity analysis and uncertainty quantification for simulated atrial electrocardiograms

B Winkler, C Nagel, N Farchmin, S Heidenreich… - Metrology, 2022 - mdpi.com
The numerical modeling of cardiac electrophysiology has reached a mature and advanced
state that allows for quantitative modeling of many clinically relevant processes. As a result …

Medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations

K Gillette, MAF Gsell, C Nagel, J Bender… - arxiv preprint arxiv …, 2022 - arxiv.org
Mechanistic cardiac electrophysiology models allow for personalized simulations of the
electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface …

Feasibility of three-dimensional artificial intelligence algorithm integration with intracardiac echocardiography for left atrial imaging during atrial fibrillation catheter …

L Di Biase, F Zou, AN Lin, V Grupposo, J Marazzato… - Europace, 2023 - academic.oup.com
Aims Intracardiac echocardiography (ICE) is a useful but operator-dependent tool for left
atrial (LA) anatomical rendering during atrial fibrillation (AF) ablation. The CARTOSOUND …