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dc.contributor.authorCelka, Patrick
dc.contributor.editorJ. Principe
dc.date.accessioned2006-06-26
dc.date.accessioned2015-01-23T05:25:06Z
dc.date.accessioned2017-03-02T00:01:00Z
dc.date.available2015-01-23T05:25:06Z
dc.date.available2017-03-02T00:01:00Z
dc.date.issued2002
dc.identifier.issn0018-9294
dc.identifier.doi10.1109/10.995684
dc.identifier.urihttp://hdl.handle.net/10072/65971
dc.description.abstractPresents a scalp electroencephalogram (EEG) seizure detection scheme based on singular spectrum analysis (SSA) and Rissanen minimum description length (MDL) model-order selection (SSA-MDL). Preprocessing of the signals allows for the drastic reduction of the number of false alarms. Statistical performance comparison with seizure detection schemes of Gotman et al. (1997) and Liu et al. (1992) is performed on both synthetic data and real EEG seizures. Monte Carlo simulations based on synthetic infant EEG seizure data reveals some detection drawbacks on a large variety of seizure waveforms. Detection using both Monte Carlo and four real infant scalp EEG signals shows the superiority of the SSA-MDL method with an average good detection rate of >93% and false detection rate <4%.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent318547 bytes
dc.format.mimetypeapplication/pdf
dc.publisherIEEE
dc.publisher.placeNew York
dc.relation.ispartofpagefrom455
dc.relation.ispartofpageto462
dc.relation.ispartofjournalIEEE Trans. Biomedical Eng
dc.relation.ispartofvolume49
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchBiomedical Engineering
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0903
dc.subject.fieldofresearchcode0906
dc.titleA computer aided detection of EEG seizures in infants: a singular spectrum approach and performance comparison
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyFaculty of Engineering and Information Technology
gro.rights.copyright© 2002 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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gro.griffith.authorCelka, Patrick


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