title: Seizure detection algorithm for neonates based on wave-sequence analysis.
abstract: OBJECTIVE
  The description and evaluation of the performance of a new real-time seizure detection algorithm in the newborn infant.
  
  
  METHODS
  The algorithm includes parallel fragmentation of EEG signal into waves; wave-feature extraction and averaging; elementary, preliminary and final detection. The algorithm detects EEG waves with heightened regularity, using wave intervals, amplitudes and shapes. The performance of the algorithm was assessed with the use of event-based and liberal and conservative time-based approaches and compared with the performance of Gotman's and Liu's algorithms.
  
  
  RESULTS
  The algorithm was assessed on multi-channel EEG records of 55 neonates including 17 with seizures. The algorithm showed sensitivities ranging 83-95% with positive predictive values (PPV) 48-77%. There were 2.0 false positive detections per hour. In comparison, Gotman's algorithm (with 30s gap-closing procedure) displayed sensitivities of 45-88% and PPV 29-56%; with 7.4 false positives per hour and Liu's algorithm displayed sensitivities of 96-99%, and PPV 10-25%; with 15.7 false positives per hour.
  
  
  CONCLUSIONS
  The wave-sequence analysis based algorithm displayed higher sensitivity, higher PPV and a substantially lower level of false positives than two previously published algorithms.
  
  
  CONCLUSIONS
  The proposed algorithm provides a basis for major improvements in neonatal seizure detection and monitoring.
authors.affiliation: BrainZ Instruments Ltd, 25 Carbine Road, Mt Wellington, P.O. Box 51078 Pakuranga, Auckland 1730, New Zealand. michael.navakatikyan@brainz.com
authors.forename: Michael A
authors.initials: MA
authors.lastname: Navakatikyan
authors.forename: Paul B
authors.initials: PB
authors.lastname: Colditz
authors.forename: Chris J
authors.initials: CJ
authors.lastname: Burke
authors.forename: Terrie E
authors.initials: TE
authors.lastname: Inder
authors.forename: Jane
authors.initials: J
authors.lastname: Richmond
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Williams
mesh_terms: D000465:Algorithms; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis*; D005189:False Positive Reactions; D006801:Humans; D007231:Infant, Newborn; D007232:Infant, Newborn, Diseases / Q000175:diagnosis*; D008959:Models, Neurological; D012680:Sensitivity and Specificity