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 …
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
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 …
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
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
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 …
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 …
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 …
Background Atrial fibrillation (AF) is caused by different mechanisms but current treatment
strategies do not target these mechanisms. Stratified therapy based on mechanistic drivers …
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
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 …
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 …
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 …
disease with an increasing prevalence [14, 32]. Its polymorphic dynamical nature severely …
Computational modeling: What does it tell us about atrial fibrillation therapy?
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively
affects morbidity and mortality of millions of patients. Technological and experimental …
affects morbidity and mortality of millions of patients. Technological and experimental …