Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the
cardiac electrical activity from the body surface. ECG analysis can therefore be a crucial first …

The combination of computational models and biophysical simulations can help to interpret
an array of experimental data and contribute to the understanding, diagnosis and treatment …

Abstract Background and Objective: Cardiac electrophysiology is a medical specialty with a
long and rich tradition of computational modeling. Nevertheless, no community standard for …

Aims Human atrial electrophysiology exhibits high inter-subject variability in both sinus
rhythm (SR) and chronic atrial fibrillation (cAF) patients. Variability is however rarely …

Atrial arrhythmias, and specifically atrial fibrillation (AF), induce rapid and irregular activation
patterns that appear on the torso surface as abnormal P-waves in electrocardiograms and …

Digital twins of patients' hearts are a promising tool to assess arrhythmia vulnerability and to
personalize therapy. However, the process of building personalized computational models …

We present a coupled left atrium‐mitral valve model based on computed tomography scans
with fibre‐reinforced hyperelastic materials. Fluid‐structure interaction is realised by using …

Biomedical research and clinical practice are struggling to cope with the growing complexity
that the progress of health care involves. The most challenging diseases, those with the …

Atrial fibrillation (AF) is a supraventricular tachyarrhythmia characterized by complete
absence of coordinated atrial contraction and is associated with an increased morbidity and …

Atrial fibrillation (AF) is one of the most common cardiac arrhythmias, which particularly
occurs in the elderly individuals with heart disease. Though AF is often asymptomatic during …