About: Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en)
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 (en)
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 (en)
skos:notation	RIV/67985807:_____/13:00382473!RIV14-GA0-67985807
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(GAP202/10/0262)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Húsek, Dušan
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	106702
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/13:00382473
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	brain computer interface; BCI; EEG; fMRI; signal separation; inverse EEG task (en)
http://linked.open.../riv/klicoveSlovo	BCI EEG brain computer interface inverse EEG task fMRI signal separation
http://linked.open...ontrolniKodProRIV	[61A9631492A9]
http://linked.open...i/riv/mistoVydani	Rijeka
http://linked.open...i/riv/nazevZdroje	Brain-Computer Interface Systems - Recent Progress and Future Prospects
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...v/pocetStranKnihy	270 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Decompositions of matrices with binary and ordinal data: theory, algorithms, and complexity
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Bobrov, P. Frolov, A. Húsek, Dušan Tintěra, J. Mokienko, O.
number of pages	19 (xsd:int)
http://bibframe.org/vocab/doi	10.5772/55166
http://purl.org/ne...btex#hasPublisher	InTech
https://schema.org/isbn	978-953-51-1134-4

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