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 …
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 …
Towards enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference
Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac
function in a non-invasive manner, making them a promising approach for personalized …
function in a non-invasive manner, making them a promising approach for personalized …
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 …
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey
Cardiac digital twins are personalized virtual representations used to understand complex
heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart …
heart mechanisms. Solving the ECG inverse problem is crucial for accurate virtual heart …
[引用][C] DH-482888-001 PREDICTING PERSONALIZED CARDIAC ELECTROPHYSIOLOGY USING DEEP LEARNING
Background Personalized computational models (" digital twins") of cardiac
electrophysiology (EP) based on clinical imaging have shown potential utility in arrhythmia …
electrophysiology (EP) based on clinical imaging have shown potential utility in arrhythmia …
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 …
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 …
Developing Cardiac Digital Twins at Scale: Insights from Personalised Myocardial Conduction Velocity
Large-cohort studies using cardiovascular imaging and diagnostic datasets have assessed
cardiac anatomy, function, and outcomes, but typically do not reveal underlying biological …
cardiac anatomy, function, and outcomes, but typically do not reveal underlying biological …