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 *

174 related articles for article (PubMed ID: 17946038)

  • 21. A fully on-line adaptive BCI.
    Vidaurre C; Schlögl A; Cabeza R; Scherer R; Pfurtscheller G
    IEEE Trans Biomed Eng; 2006 Jun; 53(6):1214-9. PubMed ID: 16761852
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Continuous EEG classification during motor imagery--simulation of an asynchronous BCI.
    Townsend G; Graimann B; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Jun; 12(2):258-65. PubMed ID: 15218939
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Electrocorticographic signal classification based on time-frequency decomposition and nonparametric statistical modeling.
    Dat TH; Shue L; Guan C
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2292-5. PubMed ID: 17945704
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Classification of EEG signals using a genetic-based machine learning classifier.
    Skinner BT; Nguyen HT; Liu DK
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3120-3. PubMed ID: 18002656
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier.
    Boostani R; Moradi MH
    J Neural Eng; 2004 Dec; 1(4):212-7. PubMed ID: 15876641
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Optimizing event-related potential based brain-computer interfaces: a systematic evaluation of dynamic stopping methods.
    Schreuder M; Höhne J; Blankertz B; Haufe S; Dickhaus T; Tangermann M
    J Neural Eng; 2013 Jun; 10(3):036025. PubMed ID: 23685458
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs.
    Lin Z; Zhang C; Wu W; Gao X
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 2):2610-4. PubMed ID: 17152442
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Single-trial EEG source reconstruction for brain-computer interface.
    Noirhomme Q; Kitney RI; Macq B
    IEEE Trans Biomed Eng; 2008 May; 55(5):1592-601. PubMed ID: 18440905
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A time-series prediction approach for feature extraction in a brain-computer interface.
    Coyle D; Prasad G; McGinnity TM
    IEEE Trans Neural Syst Rehabil Eng; 2005 Dec; 13(4):461-7. PubMed ID: 16425827
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Combined optimization of spatial and temporal filters for improving brain-computer interfacing.
    Dornhege G; Blankertz B; Krauledat M; Losch F; Curio G; Müller KR
    IEEE Trans Biomed Eng; 2006 Nov; 53(11):2274-81. PubMed ID: 17073333
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Phase synchronization for the recognition of mental tasks in a brain-computer interface.
    Gysels E; Celka P
    IEEE Trans Neural Syst Rehabil Eng; 2004 Dec; 12(4):406-15. PubMed ID: 15614996
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI).
    Fabiani GE; McFarland DJ; Wolpaw JR; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Sep; 12(3):331-8. PubMed ID: 15473195
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Different classification techniques considering brain computer interface applications.
    Rezaei S; Tavakolian K; Nasrabadi AM; Setarehdan SK
    J Neural Eng; 2006 Jun; 3(2):139-44. PubMed ID: 16705270
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Optimal design for parameter estimation in EEG problems in a 3D multilayered domain.
    Banks HT; Rubio D; Saintier N; Troparevsky MI
    Math Biosci Eng; 2015 Aug; 12(4):739-60. PubMed ID: 25974344
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training.
    Liu Y; Zhang H; Chen M; Zhang L
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):169-79. PubMed ID: 26302519
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Utilizing gamma band to improve mental task based brain-computer interface design.
    Palaniappan R
    IEEE Trans Neural Syst Rehabil Eng; 2006 Sep; 14(3):299-303. PubMed ID: 17009489
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Cognitive tasks for driving a brain-computer interfacing system: a pilot study.
    Curran E; Sykacek P; Stokes M; Roberts SJ; Penny W; Johnsrude I; Owen AM
    IEEE Trans Neural Syst Rehabil Eng; 2004 Mar; 12(1):48-54. PubMed ID: 15068187
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A new discriminative common spatial pattern method for motor imagery brain-computer interfaces.
    Thomas KP; Guan C; Lau CT; Vinod AP; Ang KK
    IEEE Trans Biomed Eng; 2009 Nov; 56(11 Pt 2):2730-3. PubMed ID: 19605314
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A latent discriminative model-based approach for classification of imaginary motor tasks from EEG data.
    Saa JF; Çetin M
    J Neural Eng; 2012 Apr; 9(2):026020. PubMed ID: 22414728
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Bispectrum-based feature extraction technique for devising a practical brain-computer interface.
    Shahid S; Prasad G
    J Neural Eng; 2011 Apr; 8(2):025014. PubMed ID: 21436530
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.