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Automatic diagnosis of the 12-lead ECG using a deep neural network

Authors :
Antônio H. Ribeiro
Manoel Horta Ribeiro
Gabriela M. M. Paixão
Derick M. Oliveira
Paulo R. Gomes
Jéssica A. Canazart
Milton P. S. Ferreira
Carl R. Andersson
Peter W. Macfarlane
Wagner Meira Jr.
Thomas B. Schön
Antonio Luiz P. Ribeiro
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. In that context, the authors present a Deep Neural Network (DNN) that recognizes different abnormalities in ECG recordings which matches or outperform cardiology and emergency resident medical doctors.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6298880e5e2a47198ce31ab9d3b78bdf
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-15432-4