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 *

145 related articles for article (PubMed ID: 10896182)

  • 1. A virtual reality testbed for brain-computer interface research.
    Bayliss JD; Ballard DH
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):188-90. PubMed ID: 10896182
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The mental prosthesis: assessing the speed of a P300-based brain-computer interface.
    Donchin E; Spencer KM; Wijesinghe R
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):174-9. PubMed ID: 10896179
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parallel man-machine training in development of EEG-based cursor control.
    Kostov A; Polak M
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):203-5. PubMed ID: 10896187
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Current trends in Graz Brain-Computer Interface (BCI) research.
    Pfurtscheller G; Neuper C; Guger C; Harkam W; Ramoser H; Schlögl A; Obermaier B; Pregenzer M
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):216-9. PubMed ID: 10896192
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [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; 42(6):371-7. PubMed ID: 14677109
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating the mutual information of an EEG-based Brain-Computer Interface.
    Schlögl A; Neuper C; Pfurtscheller G
    Biomed Tech (Berl); 2002; 47(1-2):3-8. PubMed ID: 11921635
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance.
    Sellers EW; Krusienski DJ; McFarland DJ; Vaughan TM; Wolpaw JR
    Biol Psychol; 2006 Oct; 73(3):242-52. PubMed ID: 16860920
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adapting human-machine interfaces to user performance.
    Danziger Z; Fishbach A; Mussa-Ivaldi FA
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4486-90. PubMed ID: 19163712
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Operation of a P300-based brain-computer interface by individuals with cervical spinal cord injury.
    Ikegami S; Takano K; Saeki N; Kansaku K
    Clin Neurophysiol; 2011 May; 122(5):991-6. PubMed ID: 20880741
    [TBL] [Abstract][Full Text] [Related]  

  • 10. N1 wave in the P300 BCI is not sensitive to the physical characteristics of stimuli.
    Shishkin SL; Ganin IP; Basyul IA; Zhigalov AY; Kaplan AY
    J Integr Neurosci; 2009 Dec; 8(4):471-85. PubMed ID: 20205299
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Brain-computer interfaces based on the steady-state visual-evoked response.
    Middendorf M; McMillan G; Calhoun G; Jones KS
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):211-4. PubMed ID: 10896190
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A natural basis for efficient brain-actuated control.
    Makeig S; Enghoff S; Jung TP; Sejnowski TJ
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):208-11. PubMed ID: 10896189
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The thought translation device (TTD) for completely paralyzed patients.
    Birbaumer N; Kübler A; Ghanayim N; Hinterberger T; Perelmouter J; Kaiser J; Iversen I; Kotchoubey B; Neumann N; Flor H
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):190-3. PubMed ID: 10896183
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Development of practicality of EEG-based brain-computer interface].
    Lin H; He Q; Yan Q; Feng Z; Wu B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Jun; 27(3):702-6. PubMed ID: 20649048
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Biofeedback of slow brain potentials].
    Kisil A; Birbaumer N
    Z Exp Angew Psychol; 1992; 39(2):216-28. PubMed ID: 1413918
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Frequency component selection for an EEG-based brain to computer interface.
    Pregenzer M; Pfurtscheller G
    IEEE Trans Rehabil Eng; 1999 Dec; 7(4):413-9. PubMed ID: 10609628
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Brain-computer communication and slow cortical potentials.
    Hinterberger T; Schmidt S; Neumann N; Mellinger J; Blankertz B; Curio G; Birbaumer N
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1011-8. PubMed ID: 15188872
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimizing the P300-based brain-computer interface: current status, limitations and future directions.
    Mak JN; Arbel Y; Minett JW; McCane LM; Yuksel B; Ryan D; Thompson D; Bianchi L; Erdogmus D
    J Neural Eng; 2011 Apr; 8(2):025003. PubMed ID: 21436525
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Brain-computer interface research at the Neil Squire Foundation.
    Birch GE; Mason SG
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):193-5. PubMed ID: 10896184
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.