These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

290 related articles for article (PubMed ID: 11482363)

  • 1. Rapid prototyping of an EEG-based brain-computer interface (BCI).
    Guger C; Schlögl A; Neuper C; Walterspacher D; Strein T; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2001 Mar; 9(1):49-58. PubMed ID: 11482363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A time-series prediction approach for feature extraction in a brain-computer interface.
    Coyle D; Prasad G; McGinnity TM
    IEEE Trans Neural Syst Rehabil Eng; 2005 Dec; 13(4):461-7. PubMed ID: 16425827
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings.
    Ince NF; Arica S; Tewfik A
    J Neural Eng; 2006 Sep; 3(3):235-44. PubMed ID: 16921207
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 14(2):225-9. PubMed ID: 16792300
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI).
    Fabiani GE; McFarland DJ; Wolpaw JR; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Sep; 12(3):331-8. PubMed ID: 15473195
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components.
    Pfurtscheller G; Flotzinger D; Pregenzer M; Wolpaw JR; McFarland D
    Med Prog Technol; 1995-1996; 21(3):111-21. PubMed ID: 8776708
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Continuous EEG classification during motor imagery--simulation of an asynchronous BCI.
    Townsend G; Graimann B; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Jun; 12(2):258-65. PubMed ID: 15218939
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 462(1):94-8. PubMed ID: 19545601
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring virtual environments with an EEG-based BCI through motor imagery.
    Leeb R; Scherer R; Keinrath C; Guger C; Pfurtscheller G
    Biomed Tech (Berl); 2005 Apr; 50(4):86-91. PubMed ID: 15884704
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design.
    Huan NJ; Palaniappan R
    J Neural Eng; 2004 Sep; 1(3):142-50. PubMed ID: 15876633
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Motor imagery and EEG-based control of spelling devices and neuroprostheses.
    Neuper C; Müller-Putz GR; Scherer R; Pfurtscheller G
    Prog Brain Res; 2006; 159():393-409. PubMed ID: 17071244
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cognitive tasks for driving a brain-computer interfacing system: a pilot study.
    Curran E; Sykacek P; Stokes M; Roberts SJ; Penny W; Johnsrude I; Owen AM
    IEEE Trans Neural Syst Rehabil Eng; 2004 Mar; 12(1):48-54. PubMed ID: 15068187
    [TBL] [Abstract][Full Text] [Related]  

  • 13. EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features.
    Hsu WY
    J Neurosci Methods; 2010 Jun; 189(2):295-302. PubMed ID: 20381529
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Characterization of four-class motor imagery EEG data for the BCI-competition 2005.
    Schlögl A; Lee F; Bischof H; Pfurtscheller G
    J Neural Eng; 2005 Dec; 2(4):L14-22. PubMed ID: 16317224
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neurofeedback-based motor imagery training for brain-computer interface (BCI).
    Hwang HJ; Kwon K; Im CH
    J Neurosci Methods; 2009 Apr; 179(1):150-6. PubMed ID: 19428521
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.
    Vidaurre C; Schlögl A; Cabeza R; Scherer R; Pfurtscheller G
    IEEE Trans Biomed Eng; 2007 Mar; 54(3):550-6. PubMed ID: 17355071
    [TBL] [Abstract][Full Text] [Related]  

  • 17. BCI2000: a general-purpose brain-computer interface (BCI) system.
    Schalk G; McFarland DJ; Hinterberger T; Birbaumer N; Wolpaw JR
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1034-43. PubMed ID: 15188875
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A parametric feature extraction and classification strategy for brain-computer interfacing.
    Burke DP; Kelly SP; de Chazal P; Reilly RB; Finucane C
    IEEE Trans Neural Syst Rehabil Eng; 2005 Mar; 13(1):12-7. PubMed ID: 15813401
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control.
    Huang D; Lin P; Fei DY; Chen X; Bai O
    J Neural Eng; 2009 Aug; 6(4):046005. PubMed ID: 19556679
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Information transfer rate in a five-classes brain-computer interface.
    Obermaier B; Neuper C; Guger C; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2001 Sep; 9(3):283-8. PubMed ID: 11561664
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.