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dc.contributor.authorVarsavsky, Andrea
dc.contributor.authorMareels, Iven
dc.contributor.authorCook, Mark
dc.date.accessioned2025-03-08T06:15:06Z
dc.date.available2025-03-08T06:15:06Z
dc.date.issued2011
dc.date.submitted2020-09-21T13:33:00Z
dc.identifierONIX_20200921_9781439812044_15
dc.identifierhttps://library.oapen.org/handle/20.500.12657/41655
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/184028
dc.description.abstractA study of epilepsy from an engineering perspective, this volume begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG and provides an explanation of the type of brain activity likely to register in EEG measurements, offering an overview of how these EEG records are and have been analyzed in the past. The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, it addresses the fundamental question: can seizures be predicted? Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherNeuroscience
dc.subject.otherBiomedical Engineering
dc.subject.otherNEUROSCIENCE
dc.subject.otherBIOSCIENCE
dc.subject.otherSCI-TECH
dc.subject.otherBIOMEDICALSCIENCE
dc.subject.otherSTM
dc.subject.otheraction
dc.subject.othercolumn
dc.subject.otherconduction
dc.subject.othercortical
dc.subject.otherepilepsies
dc.subject.otherfocal
dc.subject.otherpotential
dc.subject.otherrecord
dc.subject.otherscalp
dc.subject.othervolume
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences
dc.subject.otherthema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering
dc.titleEpileptic Seizures and the EEG
dc.title.alternativeMeasurement, Models, Detection and Prediction
dc.typebook
oapen.identifier.doi10.1201/b10459
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.imprintCRC Press
oapen.pages370
dc.anonymitySingle-anonymised
dc.peerreviewidbc80075c-96cc-4740-a9f3-a234bc2598f1
dc.peerreviewtitleProposal review
dc.openreviewNo
dc.responsibilityPublisher
dc.stagePre-publication
dc.reviewtypeProposal
dc.reviewertypeInternal editor
dc.reviewertypeExternal peer reviewer


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