Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery

0376794 - ÚI 2013 RIV CZ eng J - Článek v odborném periodiku
Frolov, A. - Húsek, Dušan - Bobrov, P. - Korshakov, A.V. - Chernikova, L. - Konovalov, R. - Mokienko, O.
Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery.
Neural Network World. Roč. 22, č. 1 (2012), s. 21-37. ISSN 1210-0552
Grant CEP: GA ČR GAP202/10/0262
Grant ostatní: GA MŠk(CZ) ED1.1.00/02.0070
Program: ED
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: brain-computer interface * independent component analysis * pattern classification * motor imagery * inverse problem * fMRI * EEG
Kód oboru RIV: IN - Informatika
Impakt faktor: 0.362, rok: 2012

Citováno: 3

--- TAROTIN, I.V. - IVANITSKY, G.A. Central EEG Rhythm Associated with Movement and EEG Rhythm Associated with Spatial Reasoning: Are They Homologous?. ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI I P PAVLOVA. ISSN 0044-4677, NOV-DEC 2014, vol. 64, no. 6, p. 615-626. [WOS]
--- LIU, X. - HE, R. Brain-vehicle Interactive Motion Control Based on Improved Queuing Network. NEUROQUANTOLOGY. ISSN 1303-5150, MAY 2018, vol. 16, no. 5, p. 741-748. [WOS]
--- DASHDAMIROV, H. - BASTERRECH, S. - KROMER, P. A Nature-inspired System for Mental State Recognition. 2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 2018, p. 1161-1168. [WOS]

Trvalý link: http://hdl.handle.net/11104/0216964