Detection of seizures in newborns using time-frequency analysis of EEG signals

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Detection of seizures in newborns using time-frequency analysis of EEG signals

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Title: Detection of seizures in newborns using time-frequency analysis of EEG signals
Author: Boashash, Boualem; Carson, Helen; Mesbah, Mostefa
Abstract: This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) (see Gotman et al., Electroenc. and Clin. Neurophysy., 103, pp.363-9, 1997) and Liu (time domain) (see Liu et al., Electroenc. and Clin. Neurophysy., 82, pp.30-7, 1992) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neonatal EEG signals have been used for testing.
Description: This is the first paper that used successfully a time-frequency approach for new-born seizure representation and detection. 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/10576/10687
Date: 2000

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