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 *

318 related articles for article (PubMed ID: 22736630)

  • 1. Complex-valued spatial filters for SSVEP-based BCIs with phase coding.
    Falzon O; Camilleri K; Muscat J
    IEEE Trans Biomed Eng; 2012 Sep; 59(9):2486-95. PubMed ID: 22736630
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing.
    Wu CH; Chang HC; Lee PL; Li KS; Sie JJ; Sun CW; Yang CY; Li PH; Deng HT; Shyu KK
    J Neurosci Methods; 2011 Mar; 196(1):170-81. PubMed ID: 21194547
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Customized stimulation enhances performance of independent binary SSVEP-BCIs.
    Lopez-Gordo MA; Prieto A; Pelayo F; Morillas C
    Clin Neurophysiol; 2011 Jan; 122(1):128-33. PubMed ID: 20573542
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An SSVEP-based BCI using high duty-cycle visual flicker.
    Lee PL; Yeh CL; Cheng JY; Yang CY; Lan GY
    IEEE Trans Biomed Eng; 2011 Dec; 58(12):3350-9. PubMed ID: 21788179
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Frequency and phase mixed coding in SSVEP-based brain--computer interface.
    Jia C; Gao X; Hong B; Gao S
    IEEE Trans Biomed Eng; 2011 Jan; 58(1):200-6. PubMed ID: 20729160
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application.
    Molina GG; Mihajlovic V
    Biomed Tech (Berl); 2010 Jun; 55(3):173-82. PubMed ID: 20415628
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An amplitude-modulated visual stimulation for reducing eye fatigue in SSVEP-based brain-computer interfaces.
    Chang MH; Baek HJ; Lee SM; Park KS
    Clin Neurophysiol; 2014 Jul; 125(7):1380-91. PubMed ID: 24368034
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals.
    Brunner C; Allison BZ; Altstätter C; Neuper C
    J Neural Eng; 2011 Apr; 8(2):025010. PubMed ID: 21436538
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI.
    Chang MH; Lee JS; Heo J; Park KS
    J Neurosci Methods; 2016 Jan; 258():104-13. PubMed ID: 26561770
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Study on transient VEP-based brain-computer interface using non-direct gazed visual stimuli.
    Yoshimura N; Itakura N
    Electromyogr Clin Neurophysiol; 2008; 48(1):43-51. PubMed ID: 18338534
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Frequency-modulated steady-state visual evoked potentials: a new stimulation method for brain-computer interfaces.
    Dreyer AM; Herrmann CS
    J Neurosci Methods; 2015 Feb; 241():1-9. PubMed ID: 25522824
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.
    Chen X; Wang Y; Gao S; Jung TP; Gao X
    J Neural Eng; 2015 Aug; 12(4):046008. PubMed ID: 26035476
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SSVEP-based Bremen-BCI interface--boosting information transfer rates.
    Volosyak I
    J Neural Eng; 2011 Jun; 8(3):036020. PubMed ID: 21555847
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effect of higher frequency on the classification of steady-state visual evoked potentials.
    Won DO; Hwang HJ; Dähne S; Müller KR; Lee SW
    J Neural Eng; 2016 Feb; 13(1):016014. PubMed ID: 26695712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature.
    Xu M; Qi H; Wan B; Yin T; Liu Z; Ming D
    J Neural Eng; 2013 Apr; 10(2):026001. PubMed ID: 23369924
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accounting for phase drifts in SSVEP-based BCIs by means of biphasic stimulation.
    Wu HY; Lee PL; Chang HC; Hsieh JC
    IEEE Trans Biomed Eng; 2011 May; 58(5):1394-402. PubMed ID: 21193370
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new dual-frequency stimulation method to increase the number of visual stimuli for multi-class SSVEP-based brain-computer interface (BCI).
    Hwang HJ; Hwan Kim D; Han CH; Im CH
    Brain Res; 2013 Jun; 1515():66-77. PubMed ID: 23587933
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A user-friendly SSVEP-based brain-computer interface using a time-domain classifier.
    Luo A; Sullivan TJ
    J Neural Eng; 2010 Apr; 7(2):26010. PubMed ID: 20332551
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.