Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care

J Heijman, H Sutanto, HJGM Crijns… - Cardiovascular …, 2021 - academic.oup.com
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …

An audit of uncertainty in multi-scale cardiac electrophysiology models

RH Clayton, Y Aboelkassem… - … of the Royal …, 2020 - royalsocietypublishing.org
Models of electrical activation and recovery in cardiac cells and tissue have become
valuable research tools, and are beginning to be used in safety-critical applications …

Preprocedure application of machine learning and mechanistic simulations predicts likelihood of paroxysmal atrial fibrillation recurrence following pulmonary vein …

JK Shade, RL Ali, D Basile, D Popescu… - Circulation …, 2020 - Am Heart Assoc
Background: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients
with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation …

[HTML][HTML] Deep learning-based reduced order models in cardiac electrophysiology

S Fresca, A Manzoni, L Dedè, A Quarteroni - PloS one, 2020 - journals.plos.org
Predicting the electrical behavior of the heart, from the cellular scale to the tissue level, relies
on the numerical approximation of coupled nonlinear dynamical systems. These systems …

[HTML][HTML] Constructing a human atrial fibre atlas

CH Roney, R Bendikas, F Pashakhanloo… - Annals of biomedical …, 2021 - Springer
Atrial anisotropy affects electrical propagation patterns, anchor locations of atrial reentrant
drivers, and atrial mechanics. However, patient-specific atrial fibre fields and anisotropy …

[HTML][HTML] Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium

A Roy, M Varela, H Chubb, R MacLeod… - PLoS computational …, 2020 - journals.plos.org
Clinical evidence suggests a link between fibrosis in the left atrium (LA) and atrial fibrillation
(AF), the most common sustained arrhythmia. Image-derived fibrosis is increasingly used for …

Atrial fibrosis and substrate based characterization in atrial fibrillation: time to move forwards

JX Quah, D Dharmaprani, K Tiver… - Journal of …, 2021 - Wiley Online Library
Atrial fibrillation (AF) is the most commonly encountered cardiac arrhythmia in clinical
practice. However, current therapeutic interventions for atrial fibrillation have limited clinical …

[HTML][HTML] Heterogeneous effects of fibroblast-myocyte coupling in different regions of the human atria under conditions of atrial fibrillation

J Sánchez, JF Gomez, L Martinez-Mateu… - Frontiers in …, 2019 - frontiersin.org
Background: Atrial fibrillation (AF), the most common cardiac arrhythmia, is characterized by
alteration of the action potential (AP) propagation. Under persistent AF, myocytes undergo …

[HTML][HTML] Complex-order fractional diffusion in reaction-diffusion systems

A Bueno-Orovio, K Burrage - Communications in Nonlinear Science and …, 2023 - Elsevier
Fractional differential equations have become a fundamental modelling approach for
understanding and simulating the many aspects of non-locality and spatial heterogeneity of …

[HTML][HTML] In situ procedure for high-efficiency computational modeling of atrial fibrillation reflecting personal anatomy, fiber orientation, fibrosis, and electrophysiology

B Lim, J Kim, M Hwang, JS Song, JK Lee, HT Yu… - Scientific reports, 2020 - nature.com
We previously reported the feasibility and efficacy of a simulation-guided clinical catheter
ablation of atrial fibrillation (AF) in an in-silico AF model. We developed a highly efficient …