Complexity Analysis of Neonatal EEG Using Multiscale Entropy: Applications in Brain Maturation and Sleep Stage Classification

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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Bibliographic Details
Main Authors: Ofelie De Wel, Mario Lavanga, Alexander Caicedo Dorado, Katrien Jansen, Anneleen Dereymaeker, Gunnar Naulaers, Sabine Van Huffel
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Entropy
Subjects:
brain maturation
complexity
multiscale entropy
neonatal EEG
sleep stage classification
Online Access:https://www.mdpi.com/1099-4300/19/10/516

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