Automatic Triage of 12‐Lead ECGs Using Deep Convolutional Neural Networks

Automatic Triage of 12‐Lead ECGs Using Deep Convolutional Neural Networks

BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardiac abnormalities, and conventional computerized interpretation has not been able to reach physician‐level accuracy in detecting (acute) cardiac abnormalities. This study aims to develop and validate a...

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Bibliographic Details
Main Authors: Rutger R. van de Leur, Lennart J. Blom, Efstratios Gavves, Irene E. Hof, Jeroen F. van der Heijden, Nick C. Clappers, Pieter A. Doevendans, Rutger J. Hassink, René van Es
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
deep learning
deep neural networks
electrocardiography
triage
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.119.015138

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.119.015138

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