Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms

Background: Acute myocardial infarction (AMI) is associated with a poor prognosis. Therefore, accurate diagnosis and early intervention of the culprit lesion are of extreme importance. Therefore, we developed a neural network algorithm in this study to automatically diagnose AMI from 12-lead electro...

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Detalles Bibliográficos
Autores principales: Chen, Xiehui, Guo, Wenqin, Zhao, Lingyue, Huang, Weichao, Wang, Lili, Sun, Aimei, Li, Lang, Mo, Fanrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273385/
https://www.ncbi.nlm.nih.gov/pubmed/34262951
http://dx.doi.org/10.3389/fcvm.2021.654515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273385/
https://www.ncbi.nlm.nih.gov/pubmed/34262951
http://dx.doi.org/10.3389/fcvm.2021.654515

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