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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00382473" target="_blank" >RIV/67985807:_____/13:00382473 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5772/55166" target="_blank" >http://dx.doi.org/10.5772/55166</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5772/55166" target="_blank" >10.5772/55166</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 commonnotion 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 commonnotion 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.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP202%2F10%2F0262" target="_blank" >GAP202/10/0262: Rozklady matic s binárními a ordinálními daty: teorie, algoritmy, složitost</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Brain-Computer Interface Systems - Recent Progress and Future Prospects

ISBN

978-953-51-1134-4

Počet stran výsledku

19

Strana od-do

175-193

Počet stran knihy

270

Název nakladatele

InTech

Místo vydání

Rijeka

Kód UT WoS kapitoly

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