BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

370 related articles for article (PubMed ID: 23528484)

  • 1. Classification of binary intentions for individuals with impaired oculomotor function: 'eyes-closed' SSVEP-based brain-computer interface (BCI).
    Lim JH; Hwang HJ; Han CH; Jung KY; Im CH
    J Neural Eng; 2013 Apr; 10(2):026021. PubMed ID: 23528484
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of an "eyes-closed" brain-computer interface system for communication of patients with oculomotor impairment.
    Han CH; Hwang HJ; Lim JH; Im CH
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2236-9. PubMed ID: 24110168
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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; 10(2):024001. PubMed ID: 23448913
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 208(1):59-65. PubMed ID: 22580222
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm.
    Yin E; Zhou Z; Jiang J; Chen F; Liu Y; Hu D
    J Neural Eng; 2013 Apr; 10(2):026012. PubMed ID: 23429035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Covert visuospatial attention orienting in a brain-computer interface for amyotrophic lateral sclerosis patients.
    Marchetti M; Piccione F; Silvoni S; Gamberini L; Priftis K
    Neurorehabil Neural Repair; 2013 Jun; 27(5):430-8. PubMed ID: 23353184
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive SSVEP-based BCI system with frequency and pulse duty-cycle stimuli tuning design.
    Shyu KK; Chiu YJ; Lee PL; Liang JM; Peng SH
    IEEE Trans Neural Syst Rehabil Eng; 2013 Sep; 21(5):697-703. PubMed ID: 23744702
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Brain-computer interface based on intermodulation frequency.
    Chen X; Chen Z; Gao S; Gao X
    J Neural Eng; 2013 Dec; 10(6):066009. PubMed ID: 24140740
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of SSVEP-based BCI performance by the resting-state EEG network.
    Zhang Y; Xu P; Guo D; Yao D
    J Neural Eng; 2013 Dec; 10(6):066017. PubMed ID: 24280591
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classification of selective attention to auditory stimuli: toward vision-free brain-computer interfacing.
    Kim DW; Hwang HJ; Lim JH; Lee YH; Jung KY; Im CH
    J Neurosci Methods; 2011 Apr; 197(1):180-5. PubMed ID: 21335029
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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; 7(2):26007. PubMed ID: 20332550
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface.
    Diez PF; Torres Müller SM; Mut VA; Laciar E; Avila E; Bastos-Filho TF; Sarcinelli-Filho M
    Med Eng Phys; 2013 Aug; 35(8):1155-64. PubMed ID: 23339894
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An SSVEP-actuated brain computer interface using phase-tagged flickering sequences: a cursor system.
    Lee PL; Sie JJ; Liu YJ; Wu CH; Lee MH; Shu CH; Li PH; Sun CW; Shyu KK
    Ann Biomed Eng; 2010 Jul; 38(7):2383-97. PubMed ID: 20177780
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Stimulus specificity of a steady-state visual-evoked potential-based brain-computer interface.
    Ng KB; Bradley AP; Cunnington R
    J Neural Eng; 2012 Jun; 9(3):036008. PubMed ID: 22589242
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.