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 *

175 related articles for article (PubMed ID: 25794393)

  • 1. Grouped Automatic Relevance Determination and Its Application in Channel Selection for P300 BCIs.
    Yu T; Yu Z; Gu Z; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2015 Nov; 23(6):1068-77. PubMed ID: 25794393
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. A comparison of classification methods for recognizing single-trial P300 in brain-computer interfaces
    Xiao X; Xu M; Wang Y; Jung TP; Ming D
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3032-3035. PubMed ID: 31946527
    [TBL] [Abstract][Full Text] [Related]  

  • 5. P300 Chinese input system based on Bayesian LDA.
    Jin J; Allison BZ; Brunner C; Wang B; Wang X; Zhang J; Neuper C; Pfurtscheller G
    Biomed Tech (Berl); 2010 Feb; 55(1):5-18. PubMed ID: 20128741
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface.
    Wu Q; Zhang Y; Liu J; Sun J; Cichocki A; Gao F
    Int J Neural Syst; 2019 Aug; 29(6):1950002. PubMed ID: 30880525
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Channel selection methods for the P300 Speller.
    Colwell KA; Ryan DB; Throckmorton CS; Sellers EW; Collins LM
    J Neurosci Methods; 2014 Jul; 232():6-15. PubMed ID: 24797224
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Investigation of different classifiers and channel configurations of a mobile P300-based brain-computer interface.
    Ludwig SA; Kong J
    Med Biol Eng Comput; 2017 Dec; 55(12):2143-2154. PubMed ID: 28553694
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Training and testing ERP-BCIs under different mental workload conditions.
    Ke Y; Wang P; Chen Y; Gu B; Qi H; Zhou P; Ming D
    J Neural Eng; 2016 Feb; 13(1):016007. PubMed ID: 26655346
    [TBL] [Abstract][Full Text] [Related]  

  • 10. BCI Competition 2003--Data set IIb: support vector machines for the P300 speller paradigm.
    Kaper M; Meinicke P; Grossekathoefer U; Lingner T; Ritter H
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1073-6. PubMed ID: 15188881
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BCI competition III: dataset II- ensemble of SVMs for BCI P300 speller.
    Rakotomamonjy A; Guigue V
    IEEE Trans Biomed Eng; 2008 Mar; 55(3):1147-54. PubMed ID: 18334407
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Projected accuracy metric for the P300 Speller.
    Colwell K; Throckmorton C; Collins L; Morton K
    IEEE Trans Neural Syst Rehabil Eng; 2014 Sep; 22(5):921-5. PubMed ID: 25203496
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A comparison of subject-dependent and subject-independent channel selection strategies for single-trial P300 brain computer interfaces.
    Atum Y; Pacheco M; Acevedo R; Tabernig C; Biurrun Manresa J
    Med Biol Eng Comput; 2019 Dec; 57(12):2705-2715. PubMed ID: 31728934
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Incorporating advanced language models into the P300 speller using particle filtering.
    Speier W; Arnold CW; Deshpande A; Knall J; Pouratian N
    J Neural Eng; 2015 Aug; 12(4):046018. PubMed ID: 26061188
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.
    Mainsah BO; Morton KD; Collins LM; Sellers EW; Throckmorton CS
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep; 23(5):737-43. PubMed ID: 25438320
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces.
    Won K; Kwon M; Ahn M; Jun SC
    Sci Data; 2022 Jul; 9(1):388. PubMed ID: 35803976
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Hybrid Brain-Computer Interface Based on the Fusion of P300 and SSVEP Scores.
    Yin E; Zeyl T; Saab R; Chau T; Hu D; Zhou Z
    IEEE Trans Neural Syst Rehabil Eng; 2015 Jul; 23(4):693-701. PubMed ID: 25706721
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller.
    Zhao X; Jin J; Xu R; Li S; Sun H; Wang X; Cichocki A
    Front Hum Neurosci; 2022; 16():875851. PubMed ID: 35754766
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.