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 *

146 related articles for article (PubMed ID: 37578926)

  • 21. Online Adaptation Boosts SSVEP-Based BCI Performance.
    Wong CM; Wang Z; Nakanishi M; Wang B; Rosa A; Chen CLP; Jung TP; Wan F
    IEEE Trans Biomed Eng; 2022 Jun; 69(6):2018-2028. PubMed ID: 34882542
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Cross-Subject Transfer Learning for Boosting Recognition Performance in SSVEP-based BCIs.
    Zhang Y; Xie SQ; Shi C; Li J; Zhang ZQ
    IEEE Trans Neural Syst Rehabil Eng; 2023 Mar; PP():. PubMed ID: 37028070
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.
    Cao T; Wan F; Wong CM; da Cruz JN; Hu Y
    Biomed Eng Online; 2014 Mar; 13(1):28. PubMed ID: 24621009
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Boosting template-based SSVEP decoding by cross-domain transfer learning.
    Chiang KJ; Wei CS; Nakanishi M; Jung TP
    J Neural Eng; 2021 Feb; 18(1):. PubMed ID: 33203813
    [No Abstract]   [Full Text] [Related]  

  • 25. An Adaptive Task-Related Component Analysis Method for SSVEP Recognition.
    Oikonomou VP
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298064
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Latency Aligning Task-Related Component Analysis Using Wave Propagation for Enhancing SSVEP-Based BCIs.
    Huang J; Yang P; Xiong B; Wan B; Su K; Zhang ZQ
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():851-859. PubMed ID: 35324445
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Enhancing SSVEP-BCI Performance Under Fatigue State Using Dynamic Stopping Strategy.
    Han Y; Ke Y; Wang R; Wang T; Ming D
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1407-1415. PubMed ID: 38517720
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. 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]  

  • 31. 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]  

  • 32. Enhancing performance of SSVEP-based BCI by unsupervised learning information from test trials
    Wang L; Xu M; Mei J; Han J; Wang Y; Jung TP; Ming D
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():3359-3362. PubMed ID: 33018724
    [TBL] [Abstract][Full Text] [Related]  

  • 33. TRCA-Net: using TRCA filters to boost the SSVEP classification with convolutional neural network.
    Deng Y; Sun Q; Wang C; Wang Y; Zhou SK
    J Neural Eng; 2023 Jul; 20(4):. PubMed ID: 37399806
    [No Abstract]   [Full Text] [Related]  

  • 34. 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]  

  • 35. Enhancing Detection of SSVEPs with Intermodulation Frequencies Using Individual Calibration Data.
    Chen X; Wang Y; Zhang S; Gao X
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2531-2534. PubMed ID: 30440923
    [TBL] [Abstract][Full Text] [Related]  

  • 36. SSVEP-DAN: Cross-Domain Data Alignment for SSVEP-Based Brain-Computer Interfaces.
    Chen SY; Chang CM; Chiang KJ; Wei CS
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():2027-2037. PubMed ID: 38781061
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Enhancing SSVEP-Based Brain-Computer Interface with Two-Step Task-Related Component Analysis.
    Lee HK; Choi YS
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33673137
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Phase-Locked Time-Shift Data Augmentation Method for SSVEP Brain-Computer Interfaces.
    Mai X; Ai J; Wei Y; Zhu X; Meng J
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4096-4105. PubMed ID: 37815966
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improving the Performance of Individually Calibrated SSVEP-BCI by Task- Discriminant Component Analysis.
    Liu B; Chen X; Shi N; Wang Y; Gao S; Gao X
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1998-2007. PubMed ID: 34543200
    [TBL] [Abstract][Full Text] [Related]  

  • 40. To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIs.
    Zerafa R; Camilleri T; Falzon O; Camilleri KP
    J Neural Eng; 2018 Oct; 15(5):051001. PubMed ID: 29869996
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.