Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification

Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification

Background Electrocardiogram (ECG) signal classification plays a critical role in the automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be recognized by a human interpreter, they can be detected with precision using artificial intelligence approaches, making the ECG a...

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Bibliographic Details
Main Authors: Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Bambang Tutuko, Ade Iriani Sapitri, Firdaus Firdaus, Ahmad Fansyuri, Aldi Predyansyah
Format: Article
Language:English
Published: PeerJ Inc. 2022-01-01
Series:PeerJ Computer Science
Subjects:
Deep learning
Electrocardiogram
Heart rhythm
Heart beat
Convolutional neural network
Classification
Online Access:https://peerj.com/articles/cs-825.pdf

Internet

https://peerj.com/articles/cs-825.pdf

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