Atrial fibrillation, often called AF is considered to be the most common type of cardiac
arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate …

Background Electroanatomic mapping systems are used to support electrophysiology
research. Data exported from these systems is stored in proprietary formats which are …

In this work, we present the release of a novel easy to use software package called DGM or
Directed-Graph-Mapping. DGM can automatically analyze any type of arrhythmia to find …

Purpose Recent investigations failed to reproduce the positive rotor-guided ablation
outcomes shown by initial studies for treating persistent atrial fibrillation (persAF). Phase …

The maintaining and initiating mechanisms of atrial fibrillation (AF) remain controversial.
Deep learning is emerging as a powerful tool to better understand AF and improve its …

Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms
for most people during the onset. The electrocardiogram (ECG) at the time other than the …

Background Structural and post-ablation gender differences are reported in atrial fibrillation
(AF). We analyzed the gender differences in structural remodeling and AF mechanisms in …

Purpose Effective identification of electrical drivers within remodeled tissue is a key for
improving ablation treatment for atrial fibrillation. We have developed a mutual information …

Unipolar atrial fibrillation (AF) electrograms (EGMs) require far-field ventricle cancellation to
recover hidden atrial activations. Current methods cannot achieve real-time cancellation …

Atrial fibrillation (AF) is the commonest arrhythmia, yet the mechanisms of its onset and
persistence are incompletely known. Although techniques for quantitative assessment have …