Abstract:
Time-frequency based methods have been shown to outper-form other methods in dealing with newborn EEG. This is due to the fact that newborn EEG is nonstationary and multi...Show MoreMetadata
Abstract:
Time-frequency based methods have been shown to outper-form other methods in dealing with newborn EEG. This is due to the fact that newborn EEG is nonstationary and multicomponent. This paper presents a new time-frequency based EEG seizure detection method. It uses the distribution of the interspike intervals of a high frequency slice of the time-frequency representation of an EEG epoch to discriminate between seizure and non-seizure activities. The seizure detected through this method is then tracked throughout all the available EEG channels by cross-correlating the binary encoded signals of both the detected seizure and the subsequent EEG epochs in all channels. This approach allows the study of the migrating behavior of seizure using EEG signals.
Published in: 2002 11th European Signal Processing Conference
Date of Conference: 03-06 September 2002
Date Added to IEEE Xplore: 30 March 2015
Print ISSN: 2219-5491
Conference Location: Toulouse, France