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
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;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.627973
