Xiehui Chen1*†
Wenqin Guo
Aimei Sun
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
- 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, SwitzerlandCopyright © 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, OTMxMzkwMkBxcS5jb20=; Xiehui Chen, c3l4Y3hoQDEyNi5jb20=
†These authors have contributed equally to this work and share first authorship