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Background Atrial fibrillation (AF) is the most common and debilitating abnormalities of the arrhythmias worldwide, with a major impact on morbidity and mortality. The detection of AF becomes crucial in preventing both acute and chronic cardiac rhythm disorders. Objective Our objective is to devise a method for real-time, automated detection of AF episodes in electrocardiograms (ECGs)...
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