Data processing techniques for the characterization of atrial fibrillation
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Aims The implantable loop recorder (ILR) continuously monitors the heart’s electric activity by means of a subcutaneous bipolar electrogram (Elg). Currently, the relationship between the Elg and the surface electrocardiogram (ECG) has been poorly documente ...
The most common type of sustained arrhythmia is atrial fibrillation (AF), affecting about 2% of the general population and 8% to 11% of the elderly, more than 65 years of age. The treatment of atrial arrythmia is still based on empirical considerations and ...
For over a century, electrocardiology has been observing human cardiac activity through recordings of electrocardiograms (ECG). The potential differences derived from the nine electrodes of the standard 12-lead ECG, placed at their designated positions, ar ...
Doctor Macchi reported on the progress of an animal model study of electric propagation initiated by electric stimuli. Doctor Oostendorp first gave an introduction to the inverse problem of cardiac activation time mapping (ATM), the determination of the de ...
Objective: To study the involvement of atrial repolarization in body surface potentials. Methods: Electrocardiograms of healthy subjects were recorded using a 64-lead system. The data analysis focused on the PQ intervals, while devoting special attention t ...
Objective The aim of the study was to design a vectorcardiographic lead system dedicated to the analysis of atrial fibrillation (AF). Methods Body surface potentials during AF were simulated by using a biophysical model of the human atria and thorax. The X ...
Objective: The objective of the study was to design a lead system aimed at studying atrial fibrillation (AF), while being anchored to the standard 12-lead system. Methods: The location of 4 of the 6 precordial electrodes was optimized while leaving the rem ...
Aims Surgical ablation procedures for treating atrial. fibrillation have been shown to be highly successful. However, the ideal ablation pattern still remains to be determined. This article reports on a systematic study of the effectiveness of the performa ...
This paper explores a novel approach for ventricular and atrial activities estimation in electrocardiogram (ECG) signals, based on sparse source separation. Sparse decompositions of ECG over signal-adapted multi-component dictionaries can lead to natural s ...
The research discussed in this article is motivated by the search for an optimal classification of the different types of atrial fibrillation (AF) on the basis of recorded atrial signals. This would facilitate the selection of an optimal therapy. This arti ...