Modelling the progression of atrial fibrillation: A stochastic individual-based approach

ETY Chang, YT Lin, T Galla, RH Clayton… - arXiv preprint arXiv …, 2015 - arxiv.org
We propose a stochastic individual-based model of the progression of atrial fibrillation (AF).
The model operates at patient level over a lifetime and is based on elements of the …

[HTML][HTML] A stochastic individual-based model of the progression of atrial fibrillation in individuals and populations

ETY Chang, YT Lin, T Galla, RH Clayton, J Eatock - PLoS One, 2016 - journals.plos.org
Models that represent the mechanisms that initiate and sustain atrial fibrillation (AF) in the
heart are computationally expensive to simulate and therefore only capture short time scales …

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 …

Multi-fidelity modeling of atrial fibrillation

L Gander - 2023 - sonar.ch
English Clinical investigations on atrial fibrillation, the most common cardiac arrhythmia, are
based on computational models of the cardiac electrophysiology. Accurate high fidelity …

Simulating atrial fibrillation patterns and screening strategies using virtual patient-level models

M Cai, C Barrios-Espinosa, M Rienstra… - European Heart …, 2023 - academic.oup.com
Introduction Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated
with increased morbidity and mortality. However, early detection and treatment of AF are …

[HTML][HTML] Development and external validation of predictive models for prevalent and recurrent atrial fibrillation: a protocol for the analysis of the CATCH ME combined …

W Chua, CL Easter, E Guasch, A Sitch… - BMC cardiovascular …, 2019 - Springer
Background Atrial fibrillation (AF) is caused by different mechanisms but current treatment
strategies do not target these mechanisms. Stratified therapy based on mechanistic drivers …

Assessing measures of atrial fibrillation clustering via stochastic models of episode recurrence and disease progression

J Eatock, YT Lin, ETY Chang, T Galla… - 2015 Computing in …, 2015 - ieeexplore.ieee.org
Atrial fibrillation (AF) is a leading cause of morbidity and mortality. AF prevalence increases
with age, which is attributed to pathophysiological changes that aid AF initiation and …

Physiological variability and atrial fibrillation therapy: Insights from population-based mathematical modeling

B Onal, TJ Hund - Heart Rhythm, 2016 - heartrhythmjournal.com
The global incidence of atrial fibrillation (AF) is astounding (> 30 million individuals) and
expected to increase with the overall aging of the population, increasing incidence of …

Studies of therapeutic strategies for atrial fibrillation based on a biophysical model of the human atria

L Uldry, N Virag, JM Vesin, L Kappenberger - Patient-Specific Modeling of …, 2010 - Springer
Atrial fibrillation (AF), the most common sustained form of cardiac arrhythmia, is an endemic
disease with an increasing prevalence [14, 32]. Its polymorphic dynamical nature severely …

Computational modeling: What does it tell us about atrial fibrillation therapy?

E Grandi, D Dobrev, J Heijman - International journal of cardiology, 2019 - Elsevier
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively
affects morbidity and mortality of millions of patients. Technological and experimental …