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CORRECTION article

Front. Cardiovasc. Med., 24 August 2021
Sec. Coronary Artery Disease
Volume 8 - 2021 | https://doi.org/10.3389/fcvm.2021.735864

Corrigendum: Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms

This article is a correction to:

  1. Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms

    1. Read original article
\nXiehui Chen &#x;Xiehui Chen1*†Wenqin Guo&#x;Wenqin Guo2†Lingyue ZhaoLingyue Zhao3Weichao HuangWeichao Huang2Lili WangLili Wang2Aimei SunAimei Sun2Lang LiLang Li4Fanrui Mo Fanrui Mo5*
  • 1Shenzhen Longhua District Central Hospital, Shenzhen, China
  • 2Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China
  • 3Department of Ambulatory Surgery, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
  • 4Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
  • 5Department of Cardiology, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China

A Corrigendum on
Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms

by Chen, X., Guo, W., Zhao, L., Huang, W., Wang, L., Sun, A., et al. (2021). Front. Cardiovasc. Med. 8:654515. doi: 10.3389/fcvm.2021.654515

In the original article, an author name was incorrectly spelled as Fangrui Mo. The correct spelling is Fanrui Mo.

In the original article, there were some errors in the affiliation list. For affiliation 2, instead of “Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China”, it should be “Department of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China”.

For affiliation 5, instead of “Department of Cardiology, The Forth Affiliated Hospital of Guangxi Medical University, Liuzhou, China”, it should be “Department of Cardiology, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China”.

Further, Dr. Xiehui Chen should also be listed as a corresponding author.

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: acute myocardial infarction, deep learning, residual network, convolutional neural network, electrocardiogram

Citation: Chen X, Guo W, Zhao L, Huang W, Wang L, Sun A, Li L and Mo F (2021) Corrigendum: Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms. Front. Cardiovasc. Med. 8:735864. doi: 10.3389/fcvm.2021.735864

Received: 27 July 2021; Accepted: 03 August 2021;
Published: 24 August 2021.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2021 Chen, Guo, Zhao, Huang, Wang, Sun, Li and Mo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fanrui Mo, 9313902@qq.com; Xiehui Chen, syxcxh@126.com

†These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.