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 *

151 related articles for article (PubMed ID: 37274188)

  • 1. SSVEP detection assessment by combining visual stimuli paradigms and no-training detection methods.
    Chailloux Peguero JD; Hernández-Rojas LG; Mendoza-Montoya O; Caraza R; Antelis JM
    Front Neurosci; 2023; 17():1142892. PubMed ID: 37274188
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Comparing user-dependent and user-independent training of CNN for SSVEP BCI.
    Ravi A; Beni NH; Manuel J; Jiang N
    J Neural Eng; 2020 Apr; 17(2):026028. PubMed ID: 31923910
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel command generation method for SSVEP-based BCI by introducing SSVEP blocking response.
    Yuan X; Zhang L; Sun Q; Lin X; Li C
    Comput Biol Med; 2022 Jul; 146():105521. PubMed ID: 35500376
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Training -Free Steady-State Visual Evoked Potential Brain-Computer Interface Based on Filter Bank Canonical Correlation Analysis and Spatiotemporal Beamforming Decoding.
    Ge S; Jiang Y; Wang P; Wang H; Zheng W
    IEEE Trans Neural Syst Rehabil Eng; 2019 Sep; 27(9):1714-1723. PubMed ID: 31403435
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control.
    Wang K; Zhai DH; Xiong Y; Hu L; Xia Y
    IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2159-2167. PubMed ID: 34951857
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comfortable steady state visual evoked potential stimulation paradigm using peripheral vision.
    Zhao X; Wang Z; Zhang M; Hu H
    J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33784640
    [No Abstract]   [Full Text] [Related]  

  • 8. Optimizing spatial properties of a new checkerboard-like visual stimulus for user-friendly SSVEP-based BCIs.
    Ming G; Pei W; Chen H; Gao X; Wang Y
    J Neural Eng; 2021 Oct; 18(5):. PubMed ID: 34544060
    [No Abstract]   [Full Text] [Related]  

  • 9. 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]  

  • 10. A classification algorithm of an SSVEP brain-Computer interface based on CCA fusion wavelet coefficients.
    Ma P; Dong C; Lin R; Ma S; Jia T; Chen X; Xiao Z; Qi Y
    J Neurosci Methods; 2022 Apr; 371():109502. PubMed ID: 35151665
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 18(4):. PubMed ID: 34134091
    [No Abstract]   [Full Text] [Related]  

  • 12. Spatio-Spectral CCA (SS-CCA): A novel approach for frequency recognition in SSVEP-based BCI.
    Norizadeh Cherloo M; Kashefi Amiri H; Daliri MR
    J Neurosci Methods; 2022 Apr; 371():109499. PubMed ID: 35151668
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy.
    Chen Y; Yang C; Chen X; Wang Y; Gao X
    J Neural Eng; 2021 Mar; 18(3):. PubMed ID: 32380480
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. Steady-State Visual Evoked Potential-Based Brain-Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern.
    Siribunyaphat N; Punsawad Y
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214341
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Spatio-Temporal Equalizer.
    Yang C; Han X; Wang Y; Saab R; Gao S; Gao X
    Int J Neural Syst; 2018 Dec; 28(10):1850028. PubMed ID: 30105920
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. SSVEP-assisted RSVP brain-computer interface paradigm for multi-target classification.
    Ko LW; Sandeep Vara Sankar D; Huang Y; Lu YC; Shaw S; Jung TP
    J Neural Eng; 2021 Feb; 18(1):. PubMed ID: 33291083
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.