ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects

OBJECTIVE: Studies showed that many COVID-19 survivors develop sub-clinical to clinical heart damage, even if subjects did not have underlying heart disease before COVID. Since Electrocardiogram (ECG) is a reliable technique for cardiovascular disease diagnosis, this study analyzes the 12-lead ECG r...

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Detalles Bibliográficos
Autores principales: Agrawal, Amulya, Chauhan, Aniket, Shetty, Manu Kumar, P, Girish M., Gupta, Mohit D., Gupta, Anubha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055384/
https://www.ncbi.nlm.nih.gov/pubmed/35533456
http://dx.doi.org/10.1016/j.compbiomed.2022.105540

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055384/
https://www.ncbi.nlm.nih.gov/pubmed/35533456
http://dx.doi.org/10.1016/j.compbiomed.2022.105540

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