A Hybrid Approach of a Deep Learning Technique for Real–Time ECG Beat Detection

• Published in: International journal of applied mathematics and computer science Vol. 32; no. 3; pp. 455 - 465
• Main Authors: Patro, Kiran Kumar, Prakash, Allam Jaya, Samantray, Saunak, Pławiak, Joanna, Tadeusiewicz, Ryszard, Pławiak, Paweł
• Format: Journal Article
• Language: English
• Published: Zielona Góra Sciendo 01.09.2022; De Gruyter Poland
• Subjects: Abnormalities; Algorithms; Artificial neural networks; Bioelectricity; CAD; cardiac abnormalities; convolutional neural network (CNN); Deep learning; ECG; Electrocardiography; Machine learning; Real time; supra-ventricular ec-topic beats (SVE)
• ISSN: 1641-876X; 2083-8492
• DOI: 10.34768/amcs-2022-0033

This paper presents a new customized hybrid approach for early detection of cardiac abnormalities using an electrocardiogram (ECG). The ECG is a bioelectrical signal that helps monitor the heart’s electrical activity. It can provide health information about the normal and abnormal physiology of the...