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ERRATUM article

Front. Cardiovasc. Med., 14 March 2024
Sec. Cardiac Rhythmology
Volume 11 - 2024 | https://doi.org/10.3389/fcvm.2024.1396396
This article is part of the Research Topic Artificial Intelligence in Cardiac Rhythmology View all 7 articles

Erratum: Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups

This article is an erratum on:

  1. Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups

    1. Read original article
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An Erratum on:

Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups

By Saglietto A, Baccega D, Esposito R, Anselmino M, Dusi V, Fiandrotti A and De Ferrari GM (2024). Front. Cardiovasc. Med. 11:1327179. doi: 10.3389/fcvm.2024.1327179

Due to a production error, the first sentence of the Results paragraph in the abstract was incorrectly given as “The CNN based on single-lead ECG (D1) outperformed the one based on the standard 12-lead framework [with an average percentage difference of the area under the curve (AUC) of −8.7%].”.

This has been corrected to “The CNN based on single-lead ECG (D1) achieved satisfactory performance compared to the standard 12-lead framework (average percentage AUC difference: −8.7%).”

The publisher apologizes for this mistake. The original version of this article has been updated.

Keywords: artificial intelligence, deep learning, electrocardiogram, single-lead, screening

Citation: Frontiers Production Office (2024) Erratum: Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups. Front. Cardiovasc. Med. 11:1396396. doi: 10.3389/fcvm.2024.1396396

Received: 5 March 2024; Accepted: 5 March 2024;
Published: 14 March 2024.

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

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