Publication:
Algebraic Perspectives of Background EEG Elimination

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dc.contributor.authorAydin, Serap
dc.contributor.authorIDAYDIN, SERAP/0000-0002-4026-0750
dc.date.accessioned2020-06-21T15:17:57Z
dc.date.available2020-06-21T15:17:57Z
dc.date.issued2008
dc.departmentOMÜen_US
dc.department-tempOndokuz Mayis Univ, Fac Engn, Dept EEE, Samsun, Turkey --en_US
dc.description19th International EURASIP Conference (BIOSIGNAL) -- JUN, 2008 -- Brno, CZECH REPUBLICen_US
dc.description.abstractLeast squares linear mapping (LSLM) algorithm is applied to reduce the background EEG noise on single-trial auditory evoked potentials (EPs) in the present study. Relationships between eigenvalues and spectral signal-to-noise ratio (SNR) are shown where a small number of noisy sweeps are considered as a raw matrix corrupted with additive noise. Results show that the LSLM can be assigned as a pre-filter in single trial EP estimations. Dominant eigenvectors of noisy EPs models the noiseless EP waveforms.en_US
dc.description.sponsorshipBrno Univ Technol, Fac Elect Engn & Commun, Dept Biomed Engn, European Assoc Speech, Signal & Image Proc (EURASIP), Inst Elect & Elect Engineers, Engn Med & Biol Soc (IEEE EMB)en_US
dc.identifier.endpage100en_US
dc.identifier.isbn9788021436138
dc.identifier.issn1211-412X
dc.identifier.startpage98en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12712/19514
dc.identifier.wosWOS:000303717200021
dc.language.isoenen_US
dc.publisherBrno Univ Technology VUT Pressen_US
dc.relation.ispartofseriesBiosignal-Brno
dc.relation.journalAnalysis of Biomedical Signals and Imagesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAlgebraic Perspectives of Background EEG Eliminationen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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