| dc.contributor.author | Aydin, Serap | |
| dc.date.accessioned | 2020-06-21T15:17:57Z | |
| dc.date.available | 2020-06-21T15:17:57Z | |
| dc.date.issued | 2008 | |
| dc.identifier.isbn | 978-80-214-3613-8 | |
| dc.identifier.issn | 1211-412X | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/19514 | |
| dc.description | 19th International EURASIP Conference (BIOSIGNAL) -- JUN, 2008 -- Brno, CZECH REPUBLIC | en_US |
| dc.description | AYDIN, SERAP/0000-0002-4026-0750 | en_US |
| dc.description | WOS: 000303717200021 | en_US |
| dc.description.abstract | Least 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.sponsorship | Brno 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.language.iso | eng | en_US |
| dc.publisher | Brno Univ Technology Vut Press | en_US |
| dc.relation.ispartofseries | Biosignal-Brno | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Algebraic Perspectives of Background EEG Elimination | en_US |
| dc.type | conferenceObject | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.identifier.startpage | 98 | en_US |
| dc.identifier.endpage | 100 | en_US |
| dc.relation.journal | Analysis of Biomedical Signals and Images | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
