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...

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Detalles Bibliográficos
Autores principales: Darmawahyuni, Annisa, Nurmaini, Siti, Rachmatullah, Muhammad Naufal, Tutuko, Bambang, Sapitri, Ade Iriani, Firdaus, Firdaus, Fansyuri, Ahmad, Predyansyah, Aldi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802771/
https://www.ncbi.nlm.nih.gov/pubmed/35174263
http://dx.doi.org/10.7717/peerj-cs.825

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802771/
https://www.ncbi.nlm.nih.gov/pubmed/35174263
http://dx.doi.org/10.7717/peerj-cs.825

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