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 *

219 related articles for article (PubMed ID: 31199263)

  • 1. Frequency-Optimized Local Region Common Spatial Pattern Approach for Motor Imagery Classification.
    Park Y; Chung W
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jul; 27(7):1378-1388. PubMed ID: 31199263
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
    Kumar S; Mamun K; Sharma A
    Comput Biol Med; 2017 Dec; 91():231-242. PubMed ID: 29100117
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
    Miao M; Wang A; Liu F
    Med Biol Eng Comput; 2017 Sep; 55(9):1589-1603. PubMed ID: 28161876
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimizing spatial patterns with sparse filter bands for motor-imagery based brain-computer interface.
    Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
    J Neurosci Methods; 2015 Nov; 255():85-91. PubMed ID: 26277421
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
    Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
    IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification.
    Park SH; Lee D; Lee SG
    IEEE Trans Neural Syst Rehabil Eng; 2018 Feb; 26(2):498-505. PubMed ID: 28961119
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification.
    Luo J; Wang J; Xu R; Xu K
    J Neurosci Methods; 2019 Jul; 323():98-107. PubMed ID: 31141703
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ensemble Regularized Common Spatio-Spectral Pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification.
    Norizadeh Cherloo M; Kashefi Amiri H; Daliri MR
    Comput Biol Med; 2021 Aug; 135():104546. PubMed ID: 34144268
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Motor imagery EEG classification based on ensemble support vector learning.
    Luo J; Gao X; Zhu X; Wang B; Lu N; Wang J
    Comput Methods Programs Biomed; 2020 Sep; 193():105464. PubMed ID: 32283387
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification.
    Miao Y; Jin J; Daly I; Zuo C; Wang X; Cichocki A; Jung TP
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():699-707. PubMed ID: 33819158
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature extraction of four-class motor imagery EEG signals based on functional brain network.
    Ai Q; Chen A; Chen K; Liu Q; Zhou T; Xin S; Ji Z
    J Neural Eng; 2019 Apr; 16(2):026032. PubMed ID: 30699389
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A new parameter tuning approach for enhanced motor imagery EEG signal classification.
    Kumar S; Sharma A
    Med Biol Eng Comput; 2018 Oct; 56(10):1861-1874. PubMed ID: 29616456
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Discriminative channel addition and reduction for filter bank common spatial pattern in motor imagery BCI.
    Chin ZY; Ang KK; Wang C; Guan C
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1310-3. PubMed ID: 25570207
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.
    Kumar S; Sharma A; Tsunoda T
    BMC Bioinformatics; 2017 Dec; 18(Suppl 16):545. PubMed ID: 29297303
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model : EEG signal processing.
    Shang Y; Gao X; An A
    Med Biol Eng Comput; 2023 Jun; 61(6):1581-1602. PubMed ID: 36813927
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
    Dong E; Li C; Li L; Du S; Belkacem AN; Chen C
    Med Biol Eng Comput; 2017 Oct; 55(10):1809-1818. PubMed ID: 28238175
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
    Malan NS; Sharma S
    Comput Biol Med; 2019 Apr; 107():118-126. PubMed ID: 30802693
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Correlation-based channel selection and regularized feature optimization for MI-based BCI.
    Jin J; Miao Y; Daly I; Zuo C; Hu D; Cichocki A
    Neural Netw; 2019 Oct; 118():262-270. PubMed ID: 31326660
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.
    Kirar JS; Agrawal RK
    J Med Syst; 2018 Mar; 42(5):78. PubMed ID: 29546648
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.
    Zhang S; Zhu Z; Zhang B; Feng B; Yu T; Li Z
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842635
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.