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 …
electrophysiology (EP) and in parallel a substantial increase in publications on digital …
[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
[HTML][HTML] Multi-modality cardiac image computing: A survey
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …
cardiovascular diseases. It allows a combination of complementary anatomical …
A review of evaluation approaches for explainable AI with applications in cardiology
Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI
models and is important in building trust in model predictions. XAI explanations themselves …
models and is important in building trust in model predictions. XAI explanations themselves …
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 …
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 …
Electrocardiographic imaging in the atria
I Hernandez-Romero, R Molero… - Medical & biological …, 2023 - Springer
The inverse problem of electrocardiography or electrocardiographic imaging (ECGI) is a
technique for reconstructing electrical information about cardiac surfaces from noninvasive …
technique for reconstructing electrical information about cardiac surfaces from noninvasive …
[HTML][HTML] Improving electrocardiographic imaging solutions: A comprehensive study on regularization parameter selection in L-curve optimization in the Atria
R Molero, M Martínez-Pérez, C Herrero-Martín… - Computers in Biology …, 2024 - Elsevier
Background In electrocardiographic imaging (ECGI), selecting an optimal regularization
parameter (λ) is crucial for obtaining accurate inverse electrograms. The effects of signal and …
parameter (λ) is crucial for obtaining accurate inverse electrograms. The effects of signal and …
Basis and applicability of noninvasive inverse electrocardiography: a comparison between cardiac source models
J van der Waal, V Meijborg, R Coronel… - Frontiers in …, 2023 - frontiersin.org
The body surface electrocardiogram (ECG) is a direct result of electrical activity generated
by the myocardium. Using the body surface ECGs to reconstruct cardiac electrical activity is …
by the myocardium. Using the body surface ECGs to reconstruct cardiac electrical activity is …
Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning
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 …
are categorized as sudden cardiac death, which can be related to ventricular tachycardia …