Corrigendum: Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization

Saeed Montazeri; Elana Pinchefsky; Ilse Tse; Viviana Marchi; Jukka Kohonen; Minna Kauppila; Manu Airaksinen; Karoliina Tapani; Päivi Nevalainen; Cecil Hahn; Emily W Y Tam; Nathan J Stevenson; Sampsa Vanhatalo

doi:10.3389/fnhum.2024.1417744

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. 2024 Apr 29:18:1417744. doi: 10.3389/fnhum.2024.1417744. eCollection 2024.

Authors

Saeed Montazeri¹, Elana Pinchefsky², Ilse Tse¹, Viviana Marchi^{1

3}, Jukka Kohonen⁴, Minna Kauppila¹, Manu Airaksinen^{1

5}, Karoliina Tapani¹, Päivi Nevalainen¹, Cecil Hahn⁶, Emily W Y Tam⁶, Nathan J Stevenson⁷, Sampsa Vanhatalo^{1

8}

Affiliations

¹ BABA Center, Pediatric Research Centre, Department of Clinical Neurophysiology, Children's Hospital and HUS Diagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
² Division of Neurology, Department of Paediatrics, Sainte-Justine University Hospital Centre, University of Montreal, Montreal, QC, Canada.
³ Department of Developmental Neuroscience, Stella Maris Scientific Institute, IRCCS Fondazione Stella Maris Foundation, Pisa, Italy.
⁴ Department of Computer Science, Aalto University, Espoo, Finland.
⁵ Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland.
⁶ Department of Paediatrics (Neurology), The Hospital for Sick Children and University of Toronto, Toronto, ON, Canada.
⁷ Brain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
⁸ Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.

Abstract

[This corrects the article DOI: 10.3389/fnhum.2021.675154.].

Keywords: EEG monitoring; EEG trend; artificial neural network; background classifier; neonatal EEG; neonatal intensive care unit; support vector machine.

Publication types

Published Erratum