Non-invasive and quantitative estimation of left atrial fibrosis based on P waves of the 12-Lead ECG—a large-scale computational study covering anatomical …

C Nagel, G Luongo, L Azzolin, S Schuler… - Journal of Clinical …, 2021 - mdpi.com
The arrhythmogenesis of atrial fibrillation is associated with the presence of fibrotic atrial
tissue. Not only fibrosis but also physiological anatomical variability of the atria and the …

Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset

J Sánchez, G Luongo, M Nothstein, LA Unger… - Frontiers in …, 2021 - frontiersin.org
In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to
decrease with increased structural tissue remodeling, referred to as fibrosis. In addition to …

Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia

PM Boyle, S Zahid, NA Trayanova - EP Europace, 2016 - academic.oup.com
Atrial arrhythmias involving a fibrotic substrate are an important cause of morbidity and
mortality. In many cases, effective treatment of such rhythm disorders is severely hindered by …

Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation

KS McDowell, F Vadakkumpadan, R Blake… - Journal of …, 2012 - Elsevier
Personalized computational cardiac models are emerging as an important tool for studying
cardiac arrhythmia mechanisms, and have the potential to become powerful instruments for …

Atrial fibrosis hampers non-invasive localization of atrial ectopic foci from multi-electrode signals: a 3d simulation study

EJ Godoy, M Lozano, I García-Fernández… - Frontiers in …, 2018 - frontiersin.org
Introduction: Focal atrial tachycardia is commonly treated by radio frequency ablation with
an acceptable long-term success. Although the location of ectopic foci tends to appear in …

The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment

KN Aronis, R Ali, NA Trayanova - International journal of cardiology, 2019 - Elsevier
Atrial fibrillation is the most common arrhythmia in humans and is associated with high
morbidity, mortality and health-related expenses. Computational approaches have been …

Machine learning–derived fractal features of shape and texture of the left atrium and pulmonary veins from cardiac computed tomography scans are associated with …

M Firouznia, AK Feeny, MA LaBarbera… - Circulation …, 2021 - Am Heart Assoc
Background: We hypothesized that computerized morphological analysis of the left atrium
(LA) and pulmonary veins (PVs) via fractal measurements of shape and texture features of …

Left atrial remodelling assessed by 2D and 3D echocardiography identifies paroxysmal atrial fibrillation

M Schaaf, P Andre, M Altman… - European Heart …, 2017 - academic.oup.com
Aims Paroxysmal atrial fibrillation (PAF) is common, often silent, and can be difficult to
detect. Echocardiographic parameters assessing left atrial (LA) remodelling correlated with …

Wavelength and fibrosis affect phase singularity locations during atrial fibrillation

M Saha, CH Roney, JD Bayer, M Meo… - Frontiers in …, 2018 - frontiersin.org
The mechanisms underlying atrial fibrillation (AF), the most common sustained cardiac
rhythm disturbance, remain elusive. Atrial fibrosis plays an important role in the development …

Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays

J Riccio, A Alcaine, S Rocher, L Martinez-Mateu… - Medical & Biological …, 2022 - Springer
Atrial fibrosis plays a key role in the initiation and progression of atrial fibrillation (AF). Atrial
fibrosis is typically identified by a peak-to-peak amplitude of bipolar electrograms (b-EGMs) …