DocumentCode
316658
Title
On-line detection of seizure in newborn EEG using signal processing tools
Author
Boashash, B. ; Zoubir, A.M. ; Roessgen, M.
Author_Institution
Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
Volume
1
fYear
1997
fDate
2-4 Jul 1997
Firstpage
79
Abstract
This paper considers the problem of detecting seizures in newborn electroencephalogram (EEG) data. Most current methods for analysing the EEG are based on manual inspection of EEG time-traces, which requires that the data be analysed by a trained electrophysiologist and/or neurologist. This paper introduces an on-line automatic detection scheme. The scheme is based on a model derived from the histology and biophysics of a localised portion of the brain
Keywords
electroencephalography; medical signal processing; patient diagnosis; signal detection; EEG data; EEG time-traces; biophysics; brain; histology; localised portion; newborn EEG; online automatic detection; online seizure detection; signal processing tools; Australia; Biomedical signal processing; Central nervous system; Data analysis; Electroencephalography; Electrophysiology; Epilepsy; Inspection; Pediatrics; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location
Santorini
Print_ISBN
0-7803-4137-6
Type
conf
DOI
10.1109/ICDSP.1997.627973
Filename
627973
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