NEAR: An artifact removal pipeline for human newborn EEG data

Electroencephalography (EEG) is arising as a valuable method to investigate neurocognitive functions shortly after birth. However, obtaining high-quality EEG data from human newborn recordings is challenging. Compared to adults and older infants, datasets are typically much shorter due to newborns’...

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Detalles Bibliográficos
Autores principales: Kumaravel, Velu Prabhakar, Farella, Elisabetta, Parise, Eugenio, Buiatti, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles from the Special Issue on EEG Methods for Developmental Cognitive Neuroscientists: A Tutorial Approach; Edited by George Buzzell; Emilio Valadez; Santiago Morales; Nathan Fox; Sabine Hunnius
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800139/
https://www.ncbi.nlm.nih.gov/pubmed/35085870
http://dx.doi.org/10.1016/j.dcn.2022.101068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800139/
https://www.ncbi.nlm.nih.gov/pubmed/35085870
http://dx.doi.org/10.1016/j.dcn.2022.101068

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