Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

BACKGROUND: Electrocardiogram (ECG) deep learning (DL) has promise to improve the outcomes of patients with cardiovascular abnormalities. In ECG DL, researchers often use convolutional neural networks (CNNs) and traditionally use the full duration of raw ECG waveforms that create redundancies in fea...

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Detalles Bibliográficos
Autores principales: Honarvar, Hossein, Agarwal, Chirag, Somani, Sulaiman, Vaid, Akhil, Lampert, Joshua, Wanyan, Tingyi, Reddy, Vivek Y., Nadkarni, Girish N., Miotto, Riccardo, Zitnik, Marinka, Wang, Fei, Glicksberg, Benjamin S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596304/
https://www.ncbi.nlm.nih.gov/pubmed/36310683
http://dx.doi.org/10.1016/j.cvdhj.2022.07.074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596304/
https://www.ncbi.nlm.nih.gov/pubmed/36310683
http://dx.doi.org/10.1016/j.cvdhj.2022.07.074

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