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’...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Velu Prabhakar Kumaravel, Elisabetta Farella, Eugenio Parise, Marco Buiatti
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2022-04-01
Σειρά:	Developmental Cognitive Neuroscience
Θέματα:	EEG Newborns Infants Artifact removal Local Outlier Factor Artifact Subspace Reconstruction
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S1878929322000123
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