Automated Arrhythmia Detection Based on RR Intervals

• Published in: Diagnostics (Basel) Vol. 11; no. 8; p. 1446
• Main Authors: Faust, Oliver, Kareem, Murtadha, Ali, Ali, Ciaccio, Edward J., Acharya, U. Rajendra
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 10.08.2021; MDPI
• Subjects: Algorithms; arrhythmia detection; atrial fibrillation; atrial flutter; Automation; Cardiac arrhythmia; Datasets; Deep learning; Electrocardiography; Heart; heart rate; Patients; RR interval; Signal processing
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics11081446

Abnormal heart rhythms, also known as arrhythmias, can be life-threatening. AFIB and AFL are examples of arrhythmia that affect a growing number of patients. This paper describes a method that can support clinicians during arrhythmia diagnosis. We propose a deep learning algorithm to discriminate AF...