title: Evaluation of an automatic seizure detection method for the newborn EEG.
abstract: In another publication, we described a set of methods for automatic detection of EEG seizures in the newborn. We describe here the evaluation of these methods using a completely new set of data, which were not used in developing the method. This testing data set consisted of recording from 54 patients, lasting an average of 4.4 h. Recordings had 8-16 channels and were obtained, in approximately equal numbers, from 3 institutions in Canada, the USA and Australia. Recording conditions varied from short recordings fully attended by a technologist to overnight recordings largely unattended. The average seizure detection rate was 69% (77%, 53%, 84% in the 3 institutions). False detections occurred at the average rate of 2.3/h (4.1, 1.0, 2.7 in the 3 institutions), with fluctuations that reflected largely the technical quality and level of supervision of the recordings. The results are similar to those obtained in the commonly used method of epilepsy monitoring in adults and allow us to envisage clinical application.
authors.affiliation: Montreal Neurological Institute and Hospital, Canada. jean@relvax.medcor.mcgill.ca
authors.forename: J
authors.initials: J
authors.lastname: Gotman
authors.forename: D
authors.initials: D
authors.lastname: Flanagan
authors.forename: B
authors.initials: B
authors.lastname: Rosenblatt
authors.forename: A
authors.initials: A
authors.lastname: Bye
authors.forename: E M
authors.initials: EM
authors.lastname: Mizrahi
mesh_terms: D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn / Q000502:physiology*; D008297:Male