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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Crossref DOI link: https://doi.org/10.1038/s41591-018-0268-3

Published Online: 2019-01-07

Published Print: 2019-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hannun, Awni Y. https://orcid.org/0000-0003-3080-4002
Rajpurkar, Pranav https://orcid.org/0000-0002-8030-3727
Haghpanahi, Masoumeh

Tison, Geoffrey H. https://orcid.org/0000-0002-0310-3326
Bourn, Codie

Turakhia, Mintu P.

Ng, Andrew Y.
License Information

Text and Data Mining valid from 2019-01-01
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Article History

Received: 12 March 2018

Accepted: 26 October 2018

First Online: 7 January 2019

Change Date: 24 January 2019

Change Type: Correction

Change Details: In the version of this article originally published, the <i>x</i> axis labels in Fig. 1a were incorrect. The labels originally were ‘Specificity,’ but should have been ‘1 – Specificity.’ Also, the <i>x</i> axis label in Fig. 2b was incorrect. It was originally ‘DNN predicted label,’ but should have been ‘Average cardiologist label.’ The errors have been corrected in the PDF and HTML versions of this article.

Competing interests

: M.H. and C.B. are employees of iRhythm Technologies, Inc. G.H.T. is an advisor to Cardiogram, Inc. M.P.T. is a consultant to iRhythm Technologies, Inc. None of the other authors have potential conflicts of interest.