CORRECTION article

Front. Physiol., 29 November 2022

Sec. Computational Physiology and Medicine

Volume 13 - 2022 | https://doi.org/10.3389/fphys.2022.1102527

Corrigendum on: A life-threatening arrhythmia detection method based on pulse rate variability analysis and decision tree

  • 1. School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China

  • 2. School of Computer and Information Technology, Northeast Petroleum University, Daqing, China

  • 3. School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou, China

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In the published article, there was an error in Affiliation(s) [1]. Instead of “[Country School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China],” it should be “[School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China].”

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

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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.

Summary

Keywords

pulse rate variability, arterial blood pressure, cardiovascular diseases, life-threatening arrhythmias, decision tree, intelligent recognition

Citation

Chou L, Liu J, Gong S and Chou Y (2022) Corrigendum on: A life-threatening arrhythmia detection method based on pulse rate variability analysis and decision tree. Front. Physiol. 13:1102527. doi: 10.3389/fphys.2022.1102527

Received

19 November 2022

Accepted

24 November 2022

Published

29 November 2022

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

13 - 2022

Updates

Copyright

*Correspondence: Yongxin Chou,

This article was submitted to Computational Physiology and Medicine, a section of the journal Frontiers in Physiology

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.

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