Deep learning analysis of resting electrocardiograms for the detection of myocardial dysfunction, hypertrophy, and ischaemia: a systematic review

The aim of this review was to assess the evidence for deep learning (DL) analysis of resting electrocardiograms (ECGs) to predict structural cardiac pathologies such as left ventricular (LV) systolic dysfunction, myocardial hypertrophy, and ischaemic heart disease. A systematic literature search was...

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Detalles Bibliográficos
Autores principales: Al Hinai, Ghalib, Jammoul, Samer, Vajihi, Zara, Afilalo, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482047/
https://www.ncbi.nlm.nih.gov/pubmed/34604757
http://dx.doi.org/10.1093/ehjdh/ztab048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482047/
https://www.ncbi.nlm.nih.gov/pubmed/34604757
http://dx.doi.org/10.1093/ehjdh/ztab048

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