Analysis of electrocardiograms during atrial fibrillation
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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 ...
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 ...
Atrial Fibrillation (AF) is the most common type of human arrhythmia. Beside its clinical description as absolute arrhythmia, its diagnosis has been assessed for years by visual inspection of the surface electrocardiogram (ECG). Due to the much higher ampl ...
Atrial arrhythmias are the most frequent rhythm disorders in humans and often lead to severe complications such as heart failure and stroke. While different mapping techniques have provided significant information on the electrophysiological processes asso ...
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 ...
