BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

397 related articles for article (PubMed ID: 29297303)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Motor imagery classification using geodesic filtering common spatial pattern and filter-bank feature weighted support vector machine.
    Wang F; Xu Z; Zhang W; Wu S; Zhang Y; Ping J; Wu C
    Rev Sci Instrum; 2020 Mar; 91(3):034106. PubMed ID: 32259927
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Learning Optimal Time-Frequency-Spatial Features by the CiSSA-CSP Method for Motor Imagery EEG Classification.
    Hu H; Pu Z; Li H; Liu Z; Wang P
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366225
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Discriminative spatial-frequency-temporal feature extraction and classification of motor imagery EEG: An sparse regression and Weighted Naïve Bayesian Classifier-based approach.
    Miao M; Zeng H; Wang A; Zhao C; Liu F
    J Neurosci Methods; 2017 Feb; 278():13-24. PubMed ID: 28012854
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Comparative analysis of spectral and temporal combinations in CSP-based methods for decoding hand motor imagery tasks.
    Blanco-Diaz CF; Antelis JM; Ruiz-Olaya AF
    J Neurosci Methods; 2022 Apr; 371():109495. PubMed ID: 35150764
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG.
    Peterson V; Wyser D; Lambercy O; Spies R; Gassert R
    J Neural Eng; 2019 Feb; 16(1):016019. PubMed ID: 30623892
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
    Zhang Y; Wang Y; Jin J; Wang X
    Int J Neural Syst; 2017 Mar; 27(2):1650032. PubMed ID: 27377661
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Separable Common Spatio-Spectral Patterns for Motor Imagery BCI Systems.
    Aghaei AS; Mahanta MS; Plataniotis KN
    IEEE Trans Biomed Eng; 2016 Jan; 63(1):15-29. PubMed ID: 26452197
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Transformed common spatial pattern for motor imagery-based brain-computer interfaces.
    Ma Z; Wang K; Xu M; Yi W; Xu F; Ming D
    Front Neurosci; 2023; 17():1116721. PubMed ID: 36960172
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Simultaneous design of FIR filter banks and spatial patterns for EEG signal classification.
    Higashi H; Tanaka T
    IEEE Trans Biomed Eng; 2013 Apr; 60(4):1100-10. PubMed ID: 22949044
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.