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Data-driven metric representing the maturation of preterm EEG

Book Contribution - Book Chapter Conference Contribution

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.
Book: Proc. of the 37th international conference of the IEEE Engineering in Medicine and Biology Society
Pages: 1492 - 1495
ISBN:9781424492718
Publication year:2015
BOF-keylabel:yes
IOF-keylabel:yes
Authors from:Higher Education
Accessibility:Closed