Detection of seizure signals in newborns

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Detection of seizure signals in newborns

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dc.contributor.author Boashash, Boualem
dc.contributor.author Barklem, P
dc.contributor.author Keir, M
dc.date.accessioned 2011-05-25T20:04:36Z
dc.date.available 2011-05-25T20:04:36Z
dc.date.issued 1999-03
dc.identifier.citation Proceedings of Acoustics, Speech, and Signal Processing, ICASSP '99,n page(s): 2351 - 2354 vol.4 en_US
dc.identifier.isbn 0-7803-5041-3
dc.identifier.uri http://hdl.handle.net/10576/10694
dc.description This is one of the earlier papers on the subject of newborn EEG seizure detection. For newborn EEG signals, the main author developed a software package that calculates IF estimates and TFDs; and it can be downloaded from the web site: www.time-frequency.net en_US
dc.description.abstract This paper considers a system design for processing a multidimensional biomedical signal formed by EEG, ECG, EOG and motion recorded from a newborn, for the purpose of detection of epileptic seizures in newborns as an extension of the method reported in Boashash et al. (1997) and Roessgen et al. (1998). We describe the proposed design, and discuss how the signals will be analysed and fused to detect the occurrence of seizure. We also discuss the role of modelling in refining the signal processing unit. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject ECG en_US
dc.subject EEG en_US
dc.subject EOG en_US
dc.subject electro-oculogram signals en_US
dc.subject epileptic seizures en_US
dc.subject motion en_US
dc.subject multidimensional biomedical signal en_US
dc.subject newborns en_US
dc.subject seizure signals en_US
dc.subject Signal processing en_US
dc.subject data fusion en_US
dc.subject epilepsy en_US
dc.subject transients en_US
dc.subject Signal detection en_US
dc.subject preprocessing en_US
dc.subject EEG modeling en_US
dc.title Detection of seizure signals in newborns en_US
dc.type Article en_US

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