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

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

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...

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Bibliographic Details
Main Authors: Patro Kiran Kumar, Prakash Allam Jaya, Samantray Saunak, Pławiak Joanna, Tadeusiewicz Ryszard, Pławiak Paweł
Format: Article
Language:English
Published: Sciendo 2022-09-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
cardiac abnormalities
cad
convolutional neural network (cnn)
deep learning
ecg
supra-ventricular ec-topic beats (sve)
Online Access:https://doi.org/10.34768/amcs-2022-0033

Internet

https://doi.org/10.34768/amcs-2022-0033

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