title: Data-driven metric representing the maturation of preterm EEG.
abstract: Essential information about early brain maturation can be retrieved from the preterm human electroencephalogram (EEG). This study proposes a new set of quantitative features that correlate with early maturation. We exploit the known early trend in EEG content from intermittent to continuous activity, which changes the line length content of the EEG. The developmental shift can be captured in the line length histogram, which we use to obtain 28 features; 20 histogram bins and 8 other statistical measurements. Using the mutual information, we select 6 features with high correlation to the infant's age. This subset appears promising to detect deviances from normal brain maturation. The presented data-driven index holds promise for developing into a computational EEG index of maturation that is highly needed for overall assessment in the Neonatal Intensive Care Units.
authors.forename: Ninah
authors.initials: N
authors.lastname: Koolen
authors.forename: Anneleen
authors.initials: A
authors.lastname: Dereymaeker
authors.forename: Okko
authors.initials: O
authors.lastname: Rasanen
authors.forename: Katrien
authors.initials: K
authors.lastname: Jansen
authors.forename: Jan
authors.initials: J
authors.lastname: Vervisch
authors.forename: Vladimir
authors.initials: V
authors.lastname: Matic
authors.forename: Maarten
authors.initials: M
authors.lastname: De Vos
authors.forename: Gunnar
authors.initials: G
authors.lastname: Naulaers
authors.forename: Sabine
authors.initials: S
authors.lastname: Van Huffel
authors.forename: Sampsa
authors.initials: S
authors.lastname: Vanhatalo
mesh_terms: D001921:Brain; D004569:Electroencephalography; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D007363:Intensive Care Units, Neonatal; D012919:Social Behavior