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 *

330 related articles for article (PubMed ID: 28548052)

  • 1. Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.
    Mainsah BO; Reeves G; Collins LM; Throckmorton CS
    J Neural Eng; 2017 Aug; 14(4):046025. PubMed ID: 28548052
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluating brain-computer interface performance using color in the P300 checkerboard speller.
    Ryan DB; Townsend G; Gates NA; Colwell K; Sellers EW
    Clin Neurophysiol; 2017 Oct; 128(10):2050-2057. PubMed ID: 28863361
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling.
    Cheng J; Jin J; Daly I; Zhang Y; Wang B; Wang X; Cichocki A
    Biomed Tech (Berl); 2019 Feb; 64(1):29-38. PubMed ID: 29432199
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using the detectability index to predict P300 speller performance.
    Mainsah BO; Collins LM; Throckmorton CS
    J Neural Eng; 2016 Dec; 13(6):066007. PubMed ID: 27705956
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Beyond maximum speed--a novel two-stimulus paradigm for brain-computer interfaces based on event-related potentials (P300-BCI).
    Kaufmann T; Kübler A
    J Neural Eng; 2014 Oct; 11(5):056004. PubMed ID: 25080406
    [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. 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]  

  • 8. An efficient ERP-based brain-computer interface using random set presentation and face familiarity.
    Yeom SK; Fazli S; Müller KR; Lee SW
    PLoS One; 2014; 9(11):e111157. PubMed ID: 25384045
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pushing the P300-based brain-computer interface beyond 100 bpm: extending performance guided constraints into the temporal domain.
    Townsend G; Platsko V
    J Neural Eng; 2016 Apr; 13(2):026024. PubMed ID: 26913648
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.
    Chen XJ; Collins LM; Mainsah BO
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5796-5799. PubMed ID: 34892437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Towards a symbiotic brain-computer interface: exploring the application-decoder interaction.
    Verhoeven T; Buteneers P; Wiersema JR; Dambre J; Kindermans PJ
    J Neural Eng; 2015 Dec; 12(6):066027. PubMed ID: 26580120
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Towards an enhanced ERP speller based on the visual processing of face familiarity.
    Yeom SK; Fazli S; Müller KR; Lee SW
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1330-3. PubMed ID: 25570213
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.
    Jin J; Sellers EW; Zhou S; Zhang Y; Wang X; Cichocki A
    Int J Neural Syst; 2015 May; 25(3):1550011. PubMed ID: 25804352
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Concentration on performance with P300-based BCI systems: a matter of interface features.
    da Silva-Sauer L; Valero-Aguayo L; de la Torre-Luque A; Ron-Angevin R; Varona-Moya S
    Appl Ergon; 2016 Jan; 52():325-32. PubMed ID: 26360225
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of a Green Familiar Faces Paradigm Improves P300-Speller Brain-Computer Interface Performance.
    Li Q; Liu S; Li J; Bai O
    PLoS One; 2015; 10(6):e0130325. PubMed ID: 26087308
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An improved P300 pattern in BCI to catch user's attention.
    Jin J; Zhang H; Daly I; Wang X; Cichocki A
    J Neural Eng; 2017 Jun; 14(3):036001. PubMed ID: 28224970
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An ERP-based BCI using an oddball paradigm with different faces and reduced errors in critical functions.
    Jin J; Allison BZ; Zhang Y; Wang X; Cichocki A
    Int J Neural Syst; 2014 Dec; 24(8):1450027. PubMed ID: 25182191
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.
    Mainsah BO; Collins LM; Colwell KA; Sellers EW; Ryan DB; Caves K; Throckmorton CS
    J Neural Eng; 2015 Feb; 12(1):016013. PubMed ID: 25588137
    [TBL] [Abstract][Full Text] [Related]  

  • 19. N200-speller using motion-onset visual response.
    Hong B; Guo F; Liu T; Gao X; Gao S
    Clin Neurophysiol; 2009 Sep; 120(9):1658-66. PubMed ID: 19640783
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An auditory oddball (P300) spelling system for brain-computer interfaces.
    Furdea A; Halder S; Krusienski DJ; Bross D; Nijboer F; Birbaumer N; Kübler A
    Psychophysiology; 2009 May; 46(3):617-25. PubMed ID: 19170946
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.