End-to-End Convolutional Neural Network Model to Detect and Localize Myocardial Infarction Using 12-Lead ECG Images without Preprocessing

In recent years, many studies have proposed automatic detection and localization techniques for myocardial infarction (MI) using the 12-lead electrocardiogram (ECG). Most of them applied preprocessing to the ECG signals, e.g., noise removal, trend removal, beat segmentation, and feature selection, f...

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Detalles Bibliográficos
Autores principales: Uchiyama, Ryunosuke, Okada, Yoshifumi, Kakizaki, Ryuya, Tomioka, Sekito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495488/
https://www.ncbi.nlm.nih.gov/pubmed/36134976
http://dx.doi.org/10.3390/bioengineering9090430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495488/
https://www.ncbi.nlm.nih.gov/pubmed/36134976
http://dx.doi.org/10.3390/bioengineering9090430

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