Detection of seizure signals in newborns

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Detection of seizure signals in newborns

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