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Statements

Subject Item
n2:RIV%2F67985807%3A_____%2F13%3A00382473%21RIV14-GA0-67985807
rdf:type
skos:Concept n19:Vysledek
dcterms:description
There are difficulties in interpreting the original EEG signals due to the overlapping of activities coming from different brain sources, due to the distortion of the current flows caused by the inhomogeneity in the conductivity of the brain and its covers and due to uncertainty not only in dipole source locations but also in the dipole orientation which determines the relation between its position and the EEG amplitude maxima which it produces at the head surface. These difficulties resulted in common notion that EEG data provide high temporal but very low spatial resolution comparing to fMRI data. Presented is more precise methodology how to match these two techniques to enhance both resolutions. There are difficulties in interpreting the original EEG signals due to the overlapping of activities coming from different brain sources, due to the distortion of the current flows caused by the inhomogeneity in the conductivity of the brain and its covers and due to uncertainty not only in dipole source locations but also in the dipole orientation which determines the relation between its position and the EEG amplitude maxima which it produces at the head surface. These difficulties resulted in common notion that EEG data provide high temporal but very low spatial resolution comparing to fMRI data. Presented is more precise methodology how to match these two techniques to enhance both resolutions.
dcterms:title
Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery
skos:prefLabel
Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery
skos:notation
RIV/67985807:_____/13:00382473!RIV14-GA0-67985807
n19:predkladatel
n20:ico%3A67985807
n3:aktivita
n12:P n12:I
n3:aktivity
I, P(GAP202/10/0262)
n3:dodaniDat
n8:2014
n3:domaciTvurceVysledku
n9:2195119
n3:druhVysledku
n6:C
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
106702
n3:idVysledku
RIV/67985807:_____/13:00382473
n3:jazykVysledku
n21:eng
n3:klicovaSlova
brain computer interface; BCI; EEG; fMRI; signal separation; inverse EEG task
n3:klicoveSlovo
n4:EEG n4:signal%20separation n4:brain%20computer%20interface n4:BCI n4:fMRI n4:inverse%20EEG%20task
n3:kontrolniKodProRIV
[61A9631492A9]
n3:mistoVydani
Rijeka
n3:nazevZdroje
Brain-Computer Interface Systems - Recent Progress and Future Prospects
n3:obor
n10:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetStranKnihy
270
n3:pocetTvurcuVysledku
5
n3:projekt
n17:GAP202%2F10%2F0262
n3:rokUplatneniVysledku
n8:2013
n3:tvurceVysledku
Húsek, Dušan Mokienko, O. Frolov, A. Tintěra, J. Bobrov, P.
s:numberOfPages
19
n13:doi
10.5772/55166
n16:hasPublisher
InTech
n18:isbn
978-953-51-1134-4