Single trial Motor Imagery classification in EEG measured during fMRI image acquisition - a first glance

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Abstract

Non-invasive electroencephalogram (EEG) based Brain-Computer Interfaces (BCIs), which rely on event related desynchronization (ERD), are often affected
by large fluctuations of their accuracy. We want to overcome this drawback by using simultaneous EEG and functional magnetic imaging (fMRI). The question we are addressing in this work is if ERD is still classifiable in EEG on a single trial basis after the removement of fMRI related artefacts. In a first single participant recording we found the classical ERD distribution and were able to compute a leave-one-out-cross-validation (LOOCV) accuracy of 78%, which is significantly higher than chance level.
Original languageEnglish
Title of host publicationProceedings BMT (Biomedizinische Technik) 2013 - Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik, Graz
Publisherde Gruyter
Pages1-2
Volume58 (Suppl. 1)
DOIs
Publication statusPublished - 2013
EventBMT 2013, 3-Ländertagung D-A-CH, Gemeinsame Jahrestagung ÖGBMT, SGBT, DGBMT - Graz, Austria
Duration: 19 Sept 201321 Sept 2013

Publication series

NameBiomedical Engineering / Biomedizinische Technik
Publisherde Gruyter

Conference

ConferenceBMT 2013, 3-Ländertagung D-A-CH, Gemeinsame Jahrestagung ÖGBMT, SGBT, DGBMT
Country/TerritoryAustria
CityGraz
Period19/09/1321/09/13

Fields of Expertise

  • Human- & Biotechnology

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