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 *

157 related articles for article (PubMed ID: 25569887)

  • 1. Comparison between wire and wireless EEG acquisition systems based on SSVEP in an Independent-BCI.
    Tello RM; Müller SM; Bastos-Filho T; Ferreira A
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():22-5. PubMed ID: 25569887
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Single stimulus location for two inputs: A combined brain-computer interface based on Steady-State Visual Evoked Potential (SSVEP).
    Wang L; Zhang Z; Han D; Zhang Z; Liu Z; Liu W
    Eur J Neurosci; 2021 Feb; 53(3):861-875. PubMed ID: 33128787
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. An online hybrid BCI system based on SSVEP and EMG.
    Lin K; Cinetto A; Wang Y; Chen X; Gao S; Gao X
    J Neural Eng; 2016 Apr; 13(2):026020. PubMed ID: 26902294
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A frequency recognition method based on multitaper spectral analysis and SNR estimation for SSVEP-based brain-computer interface.
    Chen Yang ; Xu Han ; Yijun Wang ; Xiaorong Gao
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1930-1933. PubMed ID: 29060270
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Toward a hybrid brain-computer interface based on repetitive visual stimuli with missing events.
    Wu Y; Li M; Wang J
    J Neuroeng Rehabil; 2016 Jul; 13(1):66. PubMed ID: 27460070
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Exploration of User's Mental State Changes during Performing Brain-Computer Interface.
    Ko LW; Chikara RK; Lee YC; Lin WC
    Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32503162
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effects of stimulation frequency and stimulation waveform on steady-state visual evoked potentials using a computer monitor.
    Chen X; Wang Y; Zhang S; Xu S; Gao X
    J Neural Eng; 2019 Oct; 16(6):066007. PubMed ID: 31220820
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Electric field encephalography for brain activity monitoring.
    Versek C; Frasca T; Zhou J; Chowdhury K; Sridhar S
    J Neural Eng; 2018 Aug; 15(4):046027. PubMed ID: 29749347
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 1692():142-153. PubMed ID: 29777674
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 25(7):1550030. PubMed ID: 26246229
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An SSVEP-BCI in Augmented Reality.
    Liu P; Ke Y; Du J; Liu W; Kong L; Wang N; An X; Ming D
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5548-5551. PubMed ID: 31947111
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Comparison of Steady-State Visual Evoked Potential (SSVEP) with LCD vs. LED Stimulation.
    Mu J; Grayden DB; Tan Y; Oetomo D
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():2946-2949. PubMed ID: 33018624
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiple-command single-frequency SSVEP-based BCI system using flickering action video.
    Lim H; Ku J
    J Neurosci Methods; 2019 Feb; 314():21-27. PubMed ID: 30659844
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessment of high-frequency steady-state visual evoked potentials from below-the-hairline areas for a brain-computer interface based on Depth-of-Field.
    Floriano A; Delisle-Rodriguez D; Diez PF; Bastos-Filho TF
    Comput Methods Programs Biomed; 2020 Feb; 184():105271. PubMed ID: 31881401
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.