In the published article, an author name was incorrectly written as “Saeed Montazeri Moghadam.” The correct spelling is “Saeed Montazeri.”
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.
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: neonatal EEG, EEG monitoring, neonatal intensive care unit, background classifier, support vector machine, artificial neural network, EEG trend
Citation: Montazeri S, Pinchefsky E, Tse I, Marchi V, Kohonen J, Kauppila M, Airaksinen M, Tapani K, Nevalainen P, Hahn C, Tam EWY, Stevenson NJ and Vanhatalo S (2024) Corrigendum: Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization. Front. Hum. Neurosci. 18:1417744. doi: 10.3389/fnhum.2024.1417744
Received: 15 April 2024; Accepted: 17 April 2024;
Published: 29 April 2024.
Copyright © 2024 Montazeri, Pinchefsky, Tse, Marchi, Kohonen, Kauppila, Airaksinen, Tapani, Nevalainen, Hahn, Tam, Stevenson and Vanhatalo. 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: Saeed Montazeri, saeed.montazeri@helsinki.fi
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