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Complexity analysis of neonatal EEG using multiscale entropy: applications in brain maturation and sleep stage classification

Automated analysis of the electroencephalographic (EEG) data for the brain monitoring of preterm infants has gained attention in the last decades. In this study, we analyze the complexity of neonatal EEG, quantified using multiscale entropy. The aim of the current work is to investigate how EEG comp...

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Detalles Bibliográficos
Autores Principales: Caicedo Dorado, Alexander, Jansen, K, Dereymaeker, A, Naulaers, G, Van Huffel, S, Lavanga, M, De Wel, O
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Entropy 2017
Materias:
Brain maturation
Complexity
Ultiscale entropy
Neonatal EEG
Sleep stage classification
Acceso en línea:https://repository.urosario.edu.co/handle/10336/27401
https://doi.org/10.3390/e19100516

Internet

https://repository.urosario.edu.co/handle/10336/27401
https://doi.org/10.3390/e19100516

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