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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2022-04-01
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| coleção: | Developmental Cognitive Neuroscience |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1878929322000123 |
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