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

Autor:	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
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	neonatal EEG EEG monitoring neonatal intensive care unit background classifier support vector machine artificial neural network Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Zdroj:	Frontiers in Human Neuroscience, Vol 18 (2024)
Druh dokumentu:	article
ISSN:	1662-5161
DOI:	10.3389/fnhum.2024.1417744
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/8c59eeabee6047c9a2222985e86c14ea Zobrazit plný text záznamu View record in DOAJ