title: Holistic approach for automated background EEG assessment in asphyxiated full-term infants.
abstract: OBJECTIVE
  To develop an automated algorithm to quantify background EEG abnormalities in full-term neonates with hypoxic ischemic encephalopathy.
  
  
  METHODS
  The algorithm classifies 1 h of continuous neonatal EEG (cEEG) into a mild, moderate or severe background abnormality grade. These classes are well established in the literature and a clinical neurophysiologist labeled 272 1 h cEEG epochs selected from 34 neonates. The algorithm is based on adaptive EEG segmentation and mapping of the segments into the so-called segments' feature space. Three features are suggested and further processing is obtained using a discretized three-dimensional distribution of the segments' features represented as a 3-way data tensor. Further classification has been achieved using recently developed tensor decomposition/classification methods that reduce the size of the model and extract a significant and discriminative set of features.
  
  
  RESULTS
  Effective parameterization of cEEG data has been achieved resulting in high classification accuracy (89%) to grade background EEG abnormalities.
  
  
  CONCLUSIONS
  For the first time, the algorithm for the background EEG assessment has been validated on an extensive dataset which contained major artifacts and epileptic seizures. The demonstrated high robustness, while processing real-case EEGs, suggests that the algorithm can be used as an assistive tool to monitor the severity of hypoxic insults in newborns.
authors.affiliation: KU Leuven, Department of Electrical Engineering (ESAT) STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium. iMinds Medical IT Department, Leuven, Belgium.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Matic
authors.forename: Perumpillichira J
authors.initials: PJ
authors.lastname: Cherian
authors.forename: Ninah
authors.initials: N
authors.lastname: Koolen
authors.forename: Gunnar
authors.initials: G
authors.lastname: Naulaers
authors.forename: Renate M
authors.initials: RM
authors.lastname: Swarte
authors.forename: Paul
authors.initials: P
authors.lastname: Govaert
authors.forename: Sabine
authors.initials: S
authors.lastname: Van Huffel
authors.forename: Maarten
authors.initials: M
authors.lastname: De Vos
mesh_terms: D000465:Algorithms; D001238:Asphyxia Neonatorum / Q000175:diagnosis* / Q000503:physiopathology* / Q000628:therapy; D004569:Electroencephalography / Q000379:methods* / Q000639:trends; D006694:Holistic Health / Q000639:trends; D006801:Humans; D007231:Infant, Newborn