Aims Recent trial data demonstrate beneficial effects of active rhythm management in
patients with atrial fibrillation (AF) and support the concept that a low arrhythmia burden is …

Introduction: Prediction models for outcomes in atrial fibrillation (AF) are used to assess risk
and inform treatment decisions. While, regression models have been the analytic standard …

Mathematical analysis and simulations of the electrodynamic activity of the human heart
conduction network | Systems Analysis Modelling Simulation skip to main content ACM Digital …

Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with increased risk
of cerebrovascular stroke, and with several other pathologies, including heart failure …

Introduction: Atrial fibrillation (AF) is the most common clinically-significant cardiac
arrhythmia and is strongly associated with increased risk of stroke and other cardiovascular …

The aim of the present work is to make a contribution to the development of novel and
improved methods of the analysis of medical time series. In particular the present study …

Computational atrial models aid the understanding of pathological mechanisms and
therapeutic measures in basic research. The use of biophysical models in a clinical …

Atrial fibrillation (AF), a complex cardiac arrhythmia, necessitates a shift in management
paradigms, emphasizing an integrative approach that incorporates lifestyle modifications …

Atrial fibrillation (AF) is the most common sustained arrhythmia all over the world and is
burdened by high morbidity and mortality as well as a significantly negative impact on …

We propose a computational methodology for evaluating the temporal evolution of the risk of
onset of Paroxysmal Atrial Fibrillation (PAF) episodes. Firstly, we obtained 75 records of …