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Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery
- 1.0376794 - ÚI 2013 RIV CZ eng J - Journal Article
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
R&D Projects: GA ČR GAP202/10/0262
Grant - others:GA MŠk(CZ) ED1.1.00/02.0070
Program: ED
Institutional research plan: CEZ:AV0Z10300504
Keywords : brain-computer interface * independent component analysis * pattern classification * motor imagery * inverse problem * fMRI * EEG
Subject RIV: IN - Informatics, Computer Science
Impact factor: 0.362, year: 2012
Permanent Link: http://hdl.handle.net/11104/0216964File Download Size Commentary Version Access 0376794.pdf 3 1.1 MB Publisher’s postprint open-access
Number of the records: 1