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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

242 related items for PubMed ID: 15188868

  • 1. An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate.
    Scherer R, Müller GR, Neuper C, Graimann B, Pfurtscheller G.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):979-84. PubMed ID: 15188868
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  • 2. "Virtual keyboard" controlled by spontaneous EEG activity.
    Obermaier B, Müller GR, Pfurtscheller G.
    IEEE Trans Neural Syst Rehabil Eng; 2003 Dec; 11(4):422-6. PubMed ID: 14960119
    [Abstract] [Full Text] [Related]

  • 3. Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch.
    Borisoff JF, Mason SG, Bashashati A, Birch GE.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):985-92. PubMed ID: 15188869
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  • 4. 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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  • 6. 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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  • 10. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates.
    Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G.
    Biomed Tech (Berl); 2005 Nov 02; 50(11):350-4. PubMed ID: 16370147
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  • 13. A review of classification algorithms for EEG-based brain-computer interfaces.
    Lotte F, Congedo M, Lécuyer A, Lamarche F, Arnaldi B.
    J Neural Eng; 2007 Jun 02; 4(2):R1-R13. PubMed ID: 17409472
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  • 14. [EEG-based communication--a new concept for rehabilitative support in patients with severe motor impairment].
    Neuper C, Müller GR, Staiger-Sälzer P, Skliris D, Kübler A, Birbaumer N, Pfurtscheller G.
    Rehabilitation (Stuttg); 2003 Dec 02; 42(6):371-7. PubMed ID: 14677109
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  • 17. Transductive SVM for reducing the training effort in BCI.
    Liao X, Yao D, Li C.
    J Neural Eng; 2007 Sep 02; 4(3):246-54. PubMed ID: 17873427
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  • 18. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier.
    Boostani R, Moradi MH.
    J Neural Eng; 2004 Dec 02; 1(4):212-7. PubMed ID: 15876641
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  • 19. Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard.
    Hwang HJ, Lim JH, Jung YJ, Choi H, Lee SW, Im CH.
    J Neurosci Methods; 2012 Jun 30; 208(1):59-65. PubMed ID: 22580222
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