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Atrial fibrillation is one of the most common supraventricular tachyarrhythmias. With an aging population and the increasing prevalence of atrial fibrillation worldwide, reliable and continuous monitoring systems that can capture respiratory information under varying medical conditions are needed. This study investigates and compares respiration signal extraction methods derived from electrocardio
