title: Quantitative EEG analysis in neonatal hypoxic ischaemic encephalopathy.
abstract: OBJECTIVE
  To test the hypothesis that quantitative EEG (qEEG) measures are associated with a grading of HIE based on the visual interpretation of neonatal EEG (EEG/HIE).
  
  
  METHODS
  Continuous multichannel video-EEG data were recorded for up to 72 h. One-hour EEG segments from each recording were visually analysed and graded by two electroencephalographers (EEGers) blinded to clinical data. Several qEEG measures were calculated for each EEG segment. Kruskal-Wallis testing with post hoc analysis and multiple linear regression were used to assess the hypothesis.
  
  
  RESULTS
  Fifty-four full-term infants with HIE were studied. The relative delta power, skewness, kurtosis, amplitude, and discontinuity were significantly different across four EEG/HIE grades (p<0.05). A linear combination of these qEEG measures could predict the EEG/HIE grade assigned by the EEGers with an accuracy of 89%.
  
  
  CONCLUSIONS
  Quantitative analysis of background EEG activity has shown that measures based on the amplitude, frequency content and continuity of the EEG are associated with a visual interpretation of the EEG performed by experienced EEGers.
  
  
  CONCLUSIONS
  Identifying qEEG measures that can separate between EEG/HIE grades is an important first step towards creating a classifier for automated detection of EEG/HIE grades.
authors.affiliation: Neonatal Brain Research Group, University College Cork, Ireland. I.Korotchikova@ucc.ie
authors.forename: I
authors.initials: I
authors.lastname: Korotchikova
authors.forename: N J
authors.initials: NJ
authors.lastname: Stevenson
authors.forename: B H
authors.initials: BH
authors.lastname: Walsh
authors.forename: D M
authors.initials: DM
authors.lastname: Murray
authors.forename: G B
authors.initials: GB
authors.lastname: Boylan
mesh_terms: D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D020925:Hypoxia-Ischemia, Brain / Q000175:diagnosis* / Q000503:physiopathology*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D055815:Young Adult