Detection of seizure signals in newborns

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contributor.author Boashash, Boualem en_US
contributor.author Barklem, P en_US
contributor.author Keir, M en_US
date.accessioned 2011-05-25T20:04:36Z en_US
date.accessioned 2015-02-01T08:24:09Z
date.available 2011-05-25T20:04:36Z en_US
date.available 2015-02-01T08:24:09Z
date.issued 1999-03 en_US
identifier.citation Proceedings of Acoustics, Speech, and Signal Processing, ICASSP '99,n page(s): 2351 - 2354 vol.4 en_US
identifier.isbn 0-7803-5041-3 en_US
identifier.uri http://hdl.handle.net/10576/10694 en_US
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
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
language.iso en en_US
publisher IEEE en_US
subject ECG en_US
subject EEG en_US
subject EOG en_US
subject electro-oculogram signals en_US
subject epileptic seizures en_US
subject motion en_US
subject multidimensional biomedical signal en_US
subject newborns en_US
subject seizure signals en_US
subject Signal processing en_US
subject data fusion en_US
subject epilepsy en_US
subject transients en_US
subject Signal detection en_US
subject preprocessing en_US
subject EEG modeling en_US
title Detection of seizure signals in newborns en_US
type Article en_US


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