DocumentCode :
140473
Title :
Neonatal EEG audification for seizure detection
Author :
Temko, Andriy ; Marnane, William ; Boylan, Geraldine ; O´Toole, J.M. ; Lightbody, G.
Author_Institution :
Dept. Electr. & Electron. Eng., Univ. Coll. Cork, Cork, Ireland
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4451
Lastpage :
4454
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.
Keywords :
audio signal processing; auditory displays; data visualisation; electroencephalography; medical disorders; medical signal detection; medical signal processing; neurophysiology; paediatrics; amplitude integrated EEG; audification accuracy survey; audification usefulness survey; automated neonatal seizure detection; cot-side implementation; data visualization; neonatal EEG audification; neonatal seizure detection algorithm; representative channel selection; signal gain control; stereo audio image; Electroencephalography; Pediatrics; Probabilistic logic; Sensitivity; Testing; Visualization; Vocoders;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944612
Filename :
6944612
Link To Document :
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