BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

332 related articles for article (PubMed ID: 24122565)

  • 1. L1-regularized Multiway canonical correlation analysis for SSVEP-based BCI.
    Zhang Y; Zhou G; Jin J; Wang M; Wang X; Cichocki A
    IEEE Trans Neural Syst Rehabil Eng; 2013 Nov; 21(6):887-96. PubMed ID: 24122565
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SSVEP recognition using common feature analysis in brain-computer interface.
    Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
    J Neurosci Methods; 2015 Apr; 244():8-15. PubMed ID: 24727656
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis.
    Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
    Int J Neural Syst; 2014 Jun; 24(4):1450013. PubMed ID: 24694168
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.
    Chen X; Wang Y; Gao S; Jung TP; Gao X
    J Neural Eng; 2015 Aug; 12(4):046008. PubMed ID: 26035476
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.
    Rabiul Islam M; Khademul Islam Molla M; Nakanishi M; Tanaka T
    J Neural Eng; 2017 Apr; 14(2):026007. PubMed ID: 28071599
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhancing performances of SSVEP-based brain-computer interfaces via exploiting inter-subject information.
    Yuan P; Chen X; Wang Y; Gao X; Gao S
    J Neural Eng; 2015 Aug; 12(4):046006. PubMed ID: 26028259
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combining canonical correlation analysis and infinite reference for frequency recognition of steady-state visual evoked potential recordings: a comparison with periodogram method.
    Tian Y; Li F; Xu P; Yuan Z; Zhao D; Zhang H
    Biomed Mater Eng; 2014; 24(6):2901-8. PubMed ID: 25226996
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sequence detection analysis based on canonical correlation for steady-state visual evoked potential brain computer interfaces.
    Cao L; Ju Z; Li J; Jian R; Jiang C
    J Neurosci Methods; 2015 Sep; 253():10-7. PubMed ID: 26014663
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface.
    Jiao Y; Zhang Y; Wang Y; Wang B; Jin J; Wang X
    Int J Neural Syst; 2018 May; 28(4):1750039. PubMed ID: 28982285
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Enhancing the classification accuracy of steady-state visual evoked potential-based brain-computer interfaces using phase constrained canonical correlation analysis.
    Pan J; Gao X; Duan F; Yan Z; Gao S
    J Neural Eng; 2011 Jun; 8(3):036027. PubMed ID: 21566275
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI.
    Wang H; Zhang Y; Waytowich NR; Krusienski DJ; Zhou G; Jin J; Wang X; Cichocki A
    IEEE Trans Neural Syst Rehabil Eng; 2016 May; 24(5):532-41. PubMed ID: 26812728
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multivariate synchronization index for frequency recognition of SSVEP-based brain-computer interface.
    Zhang Y; Xu P; Cheng K; Yao D
    J Neurosci Methods; 2014 Jan; 221():32-40. PubMed ID: 23928153
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs.
    Lin Z; Zhang C; Wu W; Gao X
    IEEE Trans Biomed Eng; 2007 Jun; 54(6 Pt 2):1172-6. PubMed ID: 17549911
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface.
    Chen YF; Atal K; Xie SQ; Liu Q
    J Neural Eng; 2017 Aug; 14(4):046028. PubMed ID: 28357991
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The SSVEP topographic scalp maps by canonical correlation analysis.
    Bin G; Lin Z; Gao X; Hong B; Gao S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3759-62. PubMed ID: 19163529
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Periodic component analysis as a spatial filter for SSVEP-based brain-computer interface.
    Kiran Kumar GR; Ramasubba Reddy M
    J Neurosci Methods; 2018 Sep; 307():164-174. PubMed ID: 29890196
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs.
    Lin Z; Zhang C; Wu W; Gao X
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 2):2610-4. PubMed ID: 17152442
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A L1 normalization enhanced dynamic window method for SSVEP-based BCIs.
    Zhou W; Liu A; Wu L; Chen X
    J Neurosci Methods; 2022 Oct; 380():109688. PubMed ID: 35973644
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatial smoothing of canonical correlation analysis for steady state visual evoked potential based brain computer interfaces.
    Ryu S; Higashi H; Tanaka T; Nakauchi S; Minami T
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1516-1519. PubMed ID: 28268614
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.