Skip to main content

Advertisement

Springer Nature Link
Log in
Menu
Find a journal Publish with us Track your research
Search
Saved research
Cart
  1. Home
  2. Frontiers of Information Technology & Electronic Engineering
  3. Article

Erratum to: A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG

  • Erratum
  • Published: 18 June 2019
  • Volume 20, page 750, (2019)
  • Cite this article
Download PDF
Save article
View saved research
Frontiers of Information Technology & Electronic Engineering Aims and scope
Erratum to: A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG
Download PDF
  • Lu-di Wang1,
  • Wei Zhou2,
  • Ying Xing1,
  • Na Liu2,
  • Mahmood Movahedipour3,4 &
  • …
  • Xiao-guang Zhou  ORCID: orcid.org/0000-0002-1829-927X1 
  • 455 Accesses

  • Explore all metrics

The Original Article was published on 01 March 2019

Article PDF

Download to read the full article text

Explore related subjects

Discover the latest articles, books and news in related subjects, suggested using machine learning.
  • Electrocardiography
  • Electrophysiology
  • Machine Learning
  • Neural decoding
  • Artificial Intelligence
  • Bioinformatics

Author information

Authors and Affiliations

  1. Automation School, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Lu-di Wang, Ying Xing & Xiao-guang Zhou

  2. Department of Neuroscience, Uppsala University, Uppsala, 75105, Sweden

    Wei Zhou & Na Liu

  3. School of Economic and Management, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Mahmood Movahedipour

  4. Academic Center for Education, Culture and Research (ACECR), Tehran, 14155-4364, Iran

    Mahmood Movahedipour

Authors
  1. Lu-di Wang
    View author publications

    Search author on:PubMed Google Scholar

  2. Wei Zhou
    View author publications

    Search author on:PubMed Google Scholar

  3. Ying Xing
    View author publications

    Search author on:PubMed Google Scholar

  4. Na Liu
    View author publications

    Search author on:PubMed Google Scholar

  5. Mahmood Movahedipour
    View author publications

    Search author on:PubMed Google Scholar

  6. Xiao-guang Zhou
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Xiao-guang Zhou.

Additional information

The online version of the original article can be found at https://doi.org/10.1631/FITEE.1700413

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Ld., Zhou, W., Xing, Y. et al. Erratum to: A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG. Frontiers Inf Technol Electronic Eng 20, 750 (2019). https://doi.org/10.1631/FITEE.17e0413

Download citation

  • Published: 18 June 2019

  • Version of record: 18 June 2019

  • Issue date: May 2019

  • DOI: https://doi.org/10.1631/FITEE.17e0413

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Advertisement

Search

Navigation

  • Find a journal
  • Publish with us
  • Track your research

Footer Navigation

Discover content

  • Journals A-Z
  • Books A-Z

Publish with us

  • Journal finder
  • Publish your research
  • Language editing
  • Open access publishing

Products and services

  • Our products
  • Librarians
  • Societies
  • Partners and advertisers

Our brands

  • Springer
  • Nature Portfolio
  • BMC
  • Palgrave Macmillan
  • Apress
  • Discover

Corporate Navigation

  • Your US state privacy rights
  • Accessibility statement
  • Terms and conditions
  • Privacy policy
  • Help and support
  • Legal notice
  • Cancel contracts here

162.0.217.198

Not affiliated

Springer Nature

© 2026 Springer Nature