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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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