Deep learning on resting electrocardiogram to identify impaired heart rate recovery

BACKGROUND AND OBJECTIVE: Postexercise heart rate recovery (HRR) is an important indicator of cardiac autonomic function and abnormal HRR is associated with adverse outcomes. We hypothesized that deep learning on resting electrocardiogram (ECG) tracings may identify individuals with impaired HRR. ME...

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Detalles Bibliográficos
Autores principales: Diamant, Nathaniel, Di Achille, Paolo, Weng, Lu-Chen, Lau, Emily S., Khurshid, Shaan, Friedman, Samuel, Reeder, Christopher, Singh, Pulkit, Wang, Xin, Sarma, Gopal, Ghadessi, Mercedeh, Mielke, Johanna, Elci, Eren, Kryukov, Ivan, Eilken, Hanna M., Derix, Andrea, Ellinor, Patrick T., Anderson, Christopher D., Philippakis, Anthony A., Batra, Puneet, Lubitz, Steven A., Ho, Jennifer E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422063/
https://www.ncbi.nlm.nih.gov/pubmed/36046430
http://dx.doi.org/10.1016/j.cvdhj.2022.06.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422063/
https://www.ncbi.nlm.nih.gov/pubmed/36046430
http://dx.doi.org/10.1016/j.cvdhj.2022.06.001

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