On-line detection of seizure in newborn EEG using signal processing tools

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On-line detection of seizure in newborn EEG using signal processing tools

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Title: On-line detection of seizure in newborn EEG using signal processing tools
Author: Boashash, Boualem; Zoubir, A.M.; Roessgen, M
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.
Description: This paper presented a solution for the problem of on-line seizure detection from new-born EEG recordings. A software package that calculates IF estimates and TFDs can be downloaded from the web site: www.time-frequency.net
URI: http://hdl.handle.net/10576/10701
Date: 1997-07

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