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dc.contributor.authorMarsalek, K.
dc.contributor.authorRozman, J.
dc.date.accessioned2016-05-02T12:41:40Z
dc.date.available2016-05-02T12:41:40Z
dc.date.issued2000-04cs
dc.identifier.citationRadioengineering. 2000, vol. 9, č. 1, s. 1-3. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58214
dc.description.abstractElectrical Activity of a human brain measured on the skull (electroencephalogram, EEG) contains in the sleep period many transients (sleep spindles, spike-like structures or vertex waves), i. e. bursts of EEG activity of limited duration, having random occurrence and may be coupled with specific sleep stages. A computer-based detector was designed that detects a transient called K-complex. The detector is based on linear matched filtering and its nonlinear modifications. The linear and nonlinear approaches are compared and evaluated with respect to the detection efficiency.en
dc.formattextcs
dc.format.extent1-3cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2000/00_01_01_03.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectpattern recognitionen
dc.subjectsleep EEGen
dc.subjectnonlinear matched filteringen
dc.subjectcovariance filteringen
dc.titleRecognition of Transient Phenomena in a Biosignalen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue1cs
dc.coverage.volume9cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported License