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Journal Abstract Search

757 related items for PubMed ID: 27914171

  • 1. Clinical feasibility of brain-computer interface based on steady-state visual evoked potential in patients with locked-in syndrome: Case studies.
    Hwang HJ, Han CH, Lim JH, Kim YW, Choi SI, An KO, Lee JH, Cha HS, Hyun Kim S, Im CH.
    Psychophysiology; 2017 Mar; 54(3):444-451. PubMed ID: 27914171
    [Abstract] [Full Text] [Related]

  • 2. An emergency call system for patients in locked-in state using an SSVEP-based brain switch.
    Lim JH, Kim YW, Lee JH, An KO, Hwang HJ, Cha HS, Han CH, Im CH.
    Psychophysiology; 2017 Nov; 54(11):1632-1643. PubMed ID: 28696536
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  • 4. 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
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  • 5. 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
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  • 6. 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
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  • 7. Evaluate the Feasibility of Using Frontal SSVEP to Implement an SSVEP-Based BCI in Young, Elderly and ALS Groups.
    Hsu HT, Lee IH, Tsai HT, Chang HC, Shyu KK, Hsu CC, Chang HH, Yeh TK, Chang CY, Lee PL.
    IEEE Trans Neural Syst Rehabil Eng; 2016 May; 24(5):603-15. PubMed ID: 26625417
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  • 9. 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 17; 1515():66-77. PubMed ID: 23587933
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  • 11. An approach for brain-controlled prostheses based on Scene Graph Steady-State Visual Evoked Potentials.
    Li R, Zhang X, Li H, Zhang L, Lu Z, Chen J.
    Brain Res; 2018 Aug 01; 1692():142-153. PubMed ID: 29777674
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  • 14. Implementing a calibration-free SSVEP-based BCI system with 160 targets.
    Chen Y, Yang C, Ye X, Chen X, Wang Y, Gao X.
    J Neural Eng; 2021 Jul 02; 18(4):. PubMed ID: 34134091
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  • 17. An Idle-State Detection Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Maximum Evoked Response Spatial Filter.
    Zhang D, Huang B, Wu W, Li S.
    Int J Neural Syst; 2015 Nov 02; 25(7):1550030. PubMed ID: 26246229
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  • 18. 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 02; 10(6):066017. PubMed ID: 24280591
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  • 19. Mental fatigue in central-field and peripheral-field steady-state visually evoked potential and its effects on event-related potential responses.
    Lee MH, Williamson J, Lee YE, Lee SW.
    Neuroreport; 2018 Oct 17; 29(15):1301-1308. PubMed ID: 30102642
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