Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00377144" target="_blank" >RIV/67985807:_____/12:00377144 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/12:86085647

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry

Popis výsledku v původním jazyce

It is shown that despite the fact that the motor imagery based brain computer interface does not rely on any particular feature of EEG signal defined a priori, system designed on the basis of EEG signal classifier is indeed controlled by the signals originating in the motor cortex. To prove this the most distinguishable EEG patterns were extracted by means of Independent Component Analysis with consequent cross-validation procedure used to select the independent components significant to the brain computer interface performance. Sources of the brain activity represented by the chosen independent components were located using single dipole approximation with individual head geometry model. These sources were found in the bottom of the central sulcus, area 3a, for each subject. These results are in good agreement with the outcome of fMRI study conducted under the same conditions.

Název v anglickém jazyce

Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry

Popis výsledku anglicky

It is shown that despite the fact that the motor imagery based brain computer interface does not rely on any particular feature of EEG signal defined a priori, system designed on the basis of EEG signal classifier is indeed controlled by the signals originating in the motor cortex. To prove this the most distinguishable EEG patterns were extracted by means of Independent Component Analysis with consequent cross-validation procedure used to select the independent components significant to the brain computer interface performance. Sources of the brain activity represented by the chosen independent components were located using single dipole approximation with individual head geometry model. These sources were found in the bottom of the central sulcus, area 3a, for each subject. These results are in good agreement with the outcome of fMRI study conducted under the same conditions.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Neural Networks - ISNN 2012

ISBN

978-3-642-31345-5

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

369-378

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Shenyang

Datum konání akce

11. 7. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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