This review article gives a comprehensive survey of the progress made in computational
modeling of the human atria during the last 10 years. Modeling the anatomy has emerged …

The heart is comprised of a syncytium of cardiac myocytes (CM) and surrounding
nonmyocytes, the majority of which are cardiac fibroblasts (CF). CM and CF are highly …

Goal: We use noninvasive data (body surface potential map**, BSPM) to personalize the
main parameters of a cardiac electrophysiological (EP) model for predicting the response to …

Spontaneous sub-cellular calcium release events (SCRE) are conjectured to promote rapid
arrhythmias associated with conditions such as heart failure and atrial fibrillation: they can …

Diagnosis and treatment of dilated cardiomyopathy (DCM) is challenging due to a large
variety of causes and disease stages. Computational models of cardiac electrophysiology …

Aims Diseased atria are characterized by functional and structural heterogeneities, adding
to abnormal impulse generation and propagation. These heterogeneities are thought to lie …

Homeostatic regulation protects organisms against hazardous physiological changes.
However, such regulation is limited in certain organs and associated biological processes …

To obtain a patient-specific cardiac electro-physiological (EP) model, it is important to
estimate the 3-D distributed tissue properties of the myocardium. Ideally, the tissue property …

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

Recent advances in computational electrophysiology (EP) models make them attractive for
clinical use. We propose a novel data-driven approach to calibrate an EP model from …