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