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 *

360 related articles for article (PubMed ID: 16967290)

  • 1. Adaptive feature extraction for EEG signal classification.
    Sun S; Zhang C
    Med Biol Eng Comput; 2006 Oct; 44(10):931-5. PubMed ID: 16967290
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue.
    Talukdar U; Hazarika SM; Gan JQ
    J Neural Eng; 2020 Jan; 17(1):016020. PubMed ID: 31683268
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1-D cursor movement for brain computer interface.
    Serdar Bascil M; Tesneli AY; Temurtas F
    Australas Phys Eng Sci Med; 2015 Jun; 38(2):229-39. PubMed ID: 25982878
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Research on the methods for multi-class kernel CSP-based feature extraction].
    Wang J; Zhang L; Hu B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2012 Apr; 29(2):217-22. PubMed ID: 22616161
    [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. EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures.
    Mondini V; Mangia AL; Cappello A
    Comput Intell Neurosci; 2016; 2016():4562601. PubMed ID: 27635129
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [EEG feature extraction based on ICA and CSP algorithms].
    Li X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec; 27(6):1370-4. PubMed ID: 21374997
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel Bayesian framework for discriminative feature extraction in Brain-Computer Interfaces.
    Suk HI; Lee SW
    IEEE Trans Pattern Anal Mach Intell; 2013 Feb; 35(2):286-99. PubMed ID: 22431526
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. A semi-supervised SVM learning algorithm for joint feature extraction and classification in brain computer interfaces.
    Li Y; Guan C
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2570-3. PubMed ID: 17945723
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel feature extraction method PSS-CSP for binary motor imagery - based brain-computer interfaces.
    Chen A; Sun D; Gao X; Zhang D
    Comput Biol Med; 2024 Jul; 177():108619. PubMed ID: 38796879
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. Motor Imagery EEG Signal Classification Using Distinctive Feature Fusion with Adaptive Structural LASSO.
    Huang W; Liu X; Yang W; Li Y; Sun Q; Kong X
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931540
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information.
    Mahmoudi M; Shamsi M
    Australas Phys Eng Sci Med; 2018 Dec; 41(4):957-972. PubMed ID: 30338495
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classifying single-trial EEG during motor imagery by iterative spatio-spectral patterns learning (ISSPL).
    Wu W; Gao X; Hong B; Gao S
    IEEE Trans Biomed Eng; 2008 Jun; 55(6):1733-43. PubMed ID: 18714838
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.
    Antony MJ; Sankaralingam BP; Mahendran RK; Gardezi AA; Shafiq M; Choi JG; Hamam H
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236694
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.