pyCEPS: A cross-platform Electroanatomic Mapping Data to Computational Model Conversion Platform for the Calibration of Digital Twin Models of Cardiac …
R Arnold, AJ Prassl, A Neic, F Thaler… - arXiv preprint arXiv …, 2024 - arxiv.org
Background and Objective: Data from electro-anatomical mapping (EAM) systems are
playing an increasingly important role in computational modeling studies for the patient …
playing an increasingly important role in computational modeling studies for the patient …
Towards the development of virtual heart technology for creating digital twins of cardiac electrophysiology
Introduction: Virtual heart technologies (VHTs) promise to offer an detailed view on cardiac
electrophysiology (EP). However, only very few VHTs simulating EP of four-chamber hearts …
electrophysiology (EP). However, only very few VHTs simulating EP of four-chamber hearts …
Quantifying variabilities in cardiac digital twin models of the electrocardiogram
CDT of human cardiac EP are digital replicas of patient hearts that match like-for-like clinical
observations. The ECG, as the most prevalent non-invasive observation of cardiac …
observations. The ECG, as the most prevalent non-invasive observation of cardiac …
Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins
Cardiac digital twins (CDTs) offer personalized\textit {in-silico} cardiac representations for
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs …
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
The eikonal equation has become an indispensable tool for modeling cardiac electrical
activation accurately and efficiently. In principle, by matching clinically recorded and eikonal …
activation accurately and efficiently. In principle, by matching clinically recorded and eikonal …
[HTML][HTML] A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs
Abstract Cardiac digital twins (Cardiac Digital Twin (CDT) s) of human electrophysiology
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …
Deep computational model for the inference of ventricular activation properties
Patient-specific cardiac computational models are essential for the efficient realization of
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …
precision medicine and in-silico clinical trials using digital twins. Cardiac digital twins can …
EP-Net: learning cardiac electrophysiology models for physiology-based constraints in data-driven predictions
Cardiac electrophysiology (EP) models achieved good pro gress in simulating cardiac
electrical activity. However numerical issues and computational times hamper clinical …
electrical activity. However numerical issues and computational times hamper clinical …
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 …
Deep learning-based emulation of human cardiac activation sequences
The vision of digital twins for precision cardiology is to combine expert knowledge and data
of patients' cardiac pathophysiology with advanced computational methods, in order to …
of patients' cardiac pathophysiology with advanced computational methods, in order to …