title: Neonatal EEG audification for seizure detection.
abstract: Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present an alternative way to visualize the output of a neonatal seizure detection algorithm. For this purpose audified neonatal EEG is considered. The EEG is audified with the aid of the neonatal seizure detection algorithm which selects the representative channels for stereo audio image and controls the signal gain. A survey on the usefulness and accuracy of the presented audification method has been performed. The results of the audification method compare favourably to that of using amplitude integrated EEG for detection of neonatal seizures.
authors.forename: Andriy
authors.initials: A
authors.lastname: Temko
authors.forename: William
authors.initials: W
authors.lastname: Marnane
authors.forename: Geraldine
authors.initials: G
authors.lastname: Boylan
authors.forename: John M
authors.initials: JM
authors.lastname: O'Toole
authors.forename: Gordon
authors.initials: G
authors.lastname: Lightbody
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D001921:Brain / Q000503:physiopathology; D004569:Electroencephalography; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D007363:Intensive Care Units, Neonatal; D020407:Internet; D012372:ROC Curve; D012640:Seizures / Q000175:diagnosis*; D012680:Sensitivity and Specificity; D014584:User-Computer Interface