Newborn EEG seizure pattern characterisation using time-frequency analysis

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Newborn EEG seizure pattern characterisation using time-frequency analysis

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dc.contributor.author Boashash, Boualem
dc.contributor.author Mesbah, M
dc.contributor.author Colditz, P
dc.date.accessioned 2011-05-25T19:25:39Z
dc.date.available 2011-05-25T19:25:39Z
dc.date.issued 2001
dc.identifier.citation ICASSP 2001, volume 2, pages 1041 en_US
dc.identifier.isbn 0-7803-7041-4
dc.identifier.other Digital Object Identifier : 10.1109/ICASSP.2001.941097
dc.identifier.uri http://hdl.handle.net/10576/10691
dc.description This is one of the earliest papers to show that new-born EEG seizures can be characterized by a piece-wise linear FM pattern in the time-frequency domain. A software package that calculates IF estimates and TFDs can be downloaded from the web site: www.time-frequency.net en_US
dc.description.abstract Previous techniques for seizure detection in newborn babies are inefficient. The main reason for their relative poor performance resides in their assumption of stationarity of the EEG. To remedy this problem, we use time-frequency distributions (TFD) to analyse and characterise the newborn EEG seizure patterns as a first step toward a time-frequency (TF) based seizure detection and classification scheme. This paper presents the results of the analysis of these time-frequency patterns for two abnormal newborn EEGs. We demonstrate that the newborn EEG seizures are well described by a class of mono- and multi-component linear FM signals. This result is novel and contradicts the simplistic assumptions routinely made in the field. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Autocorrelation en_US
dc.subject Calibration en_US
dc.subject Electroencephalography en_US
dc.subject Frequency domain analysis en_US
dc.subject Pattern analysis en_US
dc.subject Pediatrics en_US
dc.subject Signal analysis en_US
dc.subject Signal processing en_US
dc.subject Time frequency analysis en_US
dc.subject electroencephalography en_US
dc.subject frequency modulation en_US
dc.subject medical signal processing en_US
dc.subject patient diagnosis en_US
dc.subject signal classification en_US
dc.subject time-frequency analysis en_US
dc.subject abnormal newborn en_US
dc.subject mono-component linear FM signals en_US
dc.subject multi-component linear FM signals en_US
dc.subject newborn EEG seizure pattern characterisation en_US
dc.subject newborn babies en_US
dc.subject seizure classification scheme en_US
dc.subject seizure detection en_US
dc.subject stationarity en_US
dc.subject time frequency analysis en_US
dc.subject time-frequency distributions en_US
dc.subject Time-Frequency Signal Processing en_US
dc.subject B distribution en_US
dc.subject Time-Frequency calibration en_US
dc.subject instantaneous frequency en_US
dc.subject frequency patterns en_US
dc.title Newborn EEG seizure pattern characterisation using time-frequency analysis en_US
dc.type Article en_US

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