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Deep learning models for electrocardiograms are susceptible to adversarial attack

Electrocardiogram (ECG) acquisition is increasingly widespread in medical and commercial devices, necessitating the development of automated interpretation strategies. Recently, deep neural networks have been used to automatically analyze ECG tracings, and outperform physicians in detecting certain...

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Detalhes bibliográficos
Publicado no:Nat Med
Main Authors: Han, Xintian, Hu, Yuxuan, Foschini, Luca, Chinitz, Larry, Jankelson, Lior, Ranganath, Rajesh
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8096552/
https://ncbi.nlm.nih.gov/pubmed/32152582
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41591-020-0791-x
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