BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 37948768)

  • 1. Almost free of calibration for SSVEP-based brain-computer interfaces.
    Luo R; Xiao X; Chen E; Meng L; Jung TP; Xu M; Ming D
    J Neural Eng; 2023 Nov; 20(6):. PubMed ID: 37948768
    [No Abstract]   [Full Text] [Related]  

  • 2. Data Augmentation of SSVEPs Using Source Aliasing Matrix Estimation for Brain-Computer Interfaces.
    Luo R; Xu M; Zhou X; Xiao X; Jung TP; Ming D
    IEEE Trans Biomed Eng; 2023 Jun; 70(6):1775-1785. PubMed ID: 37015587
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Inter- and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-Based BCIs.
    Wong CM; Wang Z; Wang B; Lao KF; Rosa A; Xu P; Jung TP; Chen CLP; Wan F
    IEEE Trans Neural Syst Rehabil Eng; 2020 Oct; 28(10):2123-2135. PubMed ID: 32841119
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Multi-Stimulus Least-Squares Transformation With Online Adaptation Scheme to Reduce Calibration Effort for SSVEP-Based BCIs.
    Li D; Wang X; Dou M; Zhao Y; Cui X; Xiang J; Wang B
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1606-1615. PubMed ID: 38598403
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Incorporation of dynamic stopping strategy into the high-speed SSVEP-based BCIs.
    Jiang J; Yin E; Wang C; Xu M; Ming D
    J Neural Eng; 2018 Aug; 15(4):046025. PubMed ID: 29774867
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Enhancing SSVEP Identification With Less Individual Calibration Data Using Periodically Repeated Component Analysis.
    Ke Y; Liu S; Ming D
    IEEE Trans Biomed Eng; 2024 Apr; 71(4):1319-1331. PubMed ID: 37971909
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. The effect of stimulus number on the recognition accuracy and information transfer rate of SSVEP-BCI in augmented reality.
    Zhang R; Xu Z; Zhang L; Cao L; Hu Y; Lu B; Shi L; Yao D; Zhao X
    J Neural Eng; 2022 May; 19(3):. PubMed ID: 35477130
    [No Abstract]   [Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs.
    Wong CM; Wan F; Wang B; Wang Z; Nan W; Lao KF; Mak PU; Vai MI; Rosa A
    J Neural Eng; 2020 Jan; 17(1):016026. PubMed ID: 31112937
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Stimulus-Stimulus Transfer Based on Time-Frequency-Joint Representation in SSVEP-Based BCIs.
    Wang Z; Wong CM; Rosa A; Qian T; Jung TP; Wan F
    IEEE Trans Biomed Eng; 2023 Feb; 70(2):603-615. PubMed ID: 35969565
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A data expansion technique based on training and testing sample to boost the detection of SSVEPs for brain-computer interfaces.
    Xiao X; Wang L; Xu M; Wang K; Jung TP; Ming D
    J Neural Eng; 2023 Nov; 20(6):. PubMed ID: 37683663
    [No Abstract]   [Full Text] [Related]  

  • 16. Training the spatially-coded SSVEP BCI on the fly.
    Maÿe A; Mutz M; Engel AK
    J Neurosci Methods; 2022 Aug; 378():109652. PubMed ID: 35716819
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new grid stimulus with subtle flicker perception for user-friendly SSVEP-based BCIs.
    Ming G; Zhong H; Pei W; Gao X; Wang Y
    J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36827704
    [No Abstract]   [Full Text] [Related]  

  • 18. Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI.
    Chang MH; Lee JS; Heo J; Park KS
    J Neurosci Methods; 2016 Jan; 258():104-13. PubMed ID: 26561770
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training.
    Berke Guney O; Ozkan H
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36535036
    [No Abstract]   [Full Text] [Related]  

  • 20. A high-speed hybrid brain-computer interface with more than 200 targets.
    Han J; Xu M; Xiao X; Yi W; Jung TP; Ming D
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36608342
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.