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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

320 related items for PubMed ID: 20071274

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  • 2. Independence of amplitude-frequency and phase calibrations in an SSVEP-based BCI using stepping delay flickering sequences.
    Chang HC, Lee PL, Lo MT, Lee IH, Yeh TK, Chang CY.
    IEEE Trans Neural Syst Rehabil Eng; 2012 May; 20(3):305-12. PubMed ID: 22203724
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  • 3. BCI demographics II: how many (and what kinds of) people can use a high-frequency SSVEP BCI?
    Volosyak I, Valbuena D, Lüth T, Malechka T, Gräser A.
    IEEE Trans Neural Syst Rehabil Eng; 2011 Jun; 19(3):232-9. PubMed ID: 21421448
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  • 8. The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
    Blankertz B, Dornhege G, Krauledat M, Müller KR, Curio G.
    Neuroimage; 2007 Aug 15; 37(2):539-50. PubMed ID: 17475513
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  • 10. Toward a hybrid brain-computer interface based on imagined movement and visual attention.
    Allison BZ, Brunner C, Kaiser V, Müller-Putz GR, Neuper C, Pfurtscheller G.
    J Neural Eng; 2010 Apr 15; 7(2):26007. PubMed ID: 20332550
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  • 11. How many people are able to control a P300-based brain-computer interface (BCI)?
    Guger C, Daban S, Sellers E, Holzner C, Krausz G, Carabalona R, Gramatica F, Edlinger G.
    Neurosci Lett; 2009 Oct 02; 462(1):94-8. PubMed ID: 19545601
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  • 12. An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method.
    Bin G, Gao X, Yan Z, Hong B, Gao S.
    J Neural Eng; 2009 Aug 02; 6(4):046002. PubMed ID: 19494422
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  • 13. Brain-computer interface using water-based electrodes.
    Volosyak I, Valbuena D, Malechka T, Peuscher J, Gräser A.
    J Neural Eng; 2010 Dec 02; 7(6):066007. PubMed ID: 21048286
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  • 14. A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller.
    Martens SM, Leiva JM.
    J Neural Eng; 2010 Apr 02; 7(2):26003. PubMed ID: 20168003
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  • 15. Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials.
    Trejo LJ, Rosipal R, Matthews B.
    IEEE Trans Neural Syst Rehabil Eng; 2006 Jun 02; 14(2):225-9. PubMed ID: 16792300
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  • 19. Brain-computer interfaces using capacitive measurement of visual or auditory steady-state responses.
    Baek HJ, Kim HS, Heo J, Lim YG, Park KS.
    J Neural Eng; 2013 Apr 02; 10(2):024001. PubMed ID: 23448913
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