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 *

334 related articles for article (PubMed ID: 19651550)

  • 1. A novel criterion of wavelet packet best basis selection for signal classification with application to brain-computer interfaces.
    Vautrin D; Artusi X; Lucas MF; Farina D
    IEEE Trans Biomed Eng; 2009 Nov; 56(11 Pt 2):2734-8. PubMed ID: 19651550
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptive subject-based feature extraction in brain-computer interfaces using wavelet packet best basis decomposition.
    Yang BH; Yan GZ; Yan RG; Wu T
    Med Eng Phys; 2007 Jan; 29(1):48-53. PubMed ID: 16517206
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.
    Bashashati A; Fatourechi M; Ward RK; Birch GE
    J Neural Eng; 2007 Jun; 4(2):R32-57. PubMed ID: 17409474
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A review of classification algorithms for EEG-based brain-computer interfaces.
    Lotte F; Congedo M; Lécuyer A; Lamarche F; Arnaldi B
    J Neural Eng; 2007 Jun; 4(2):R1-R13. PubMed ID: 17409472
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Classification of motor imagery tasks for brain-computer interface applications by means of two equivalent dipoles analysis.
    Kamousi B; Liu Z; He B
    IEEE Trans Neural Syst Rehabil Eng; 2005 Jun; 13(2):166-71. PubMed ID: 16003895
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification.
    Garrett D; Peterson DA; Anderson CW; Thaut MH
    IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):141-4. PubMed ID: 12899257
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets.
    Cabrera AF; Dremstrup K
    J Neurosci Methods; 2008 Sep; 174(1):135-46. PubMed ID: 18656500
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Transductive SVM for reducing the training effort in BCI.
    Liao X; Yao D; Li C
    J Neural Eng; 2007 Sep; 4(3):246-54. PubMed ID: 17873427
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A wavelet-like filter based on neuron action potentials for analysis of human scalp electroencephalographs.
    Glassman EL
    IEEE Trans Biomed Eng; 2005 Nov; 52(11):1851-62. PubMed ID: 16285389
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature extraction for EEG-based brain-computer interfaces by wavelet packet best basis decomposition.
    Yang BH; Yan GZ; Yan RG; Wu T
    J Neural Eng; 2006 Dec; 3(4):251-6. PubMed ID: 17124328
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hidden pattern discovery on event related potential EEG signals.
    Ng KS; Yang HJ; Kim SH
    Biosystems; 2009 Jul; 97(1):15-27. PubMed ID: 19505633
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the use of interaction error potentials for adaptive brain computer interfaces.
    Llera A; van Gerven MA; Gómez V; Jensen O; Kappen HJ
    Neural Netw; 2011 Dec; 24(10):1120-7. PubMed ID: 21696919
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design.
    Huan NJ; Palaniappan R
    J Neural Eng; 2004 Sep; 1(3):142-50. PubMed ID: 15876633
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Towards adaptive classification for BCI.
    Shenoy P; Krauledat M; Blankertz B; Rao RP; Müller KR
    J Neural Eng; 2006 Mar; 3(1):R13-23. PubMed ID: 16510936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Preprocessing and meta-classification for brain-computer interfaces.
    Hammon PS; de Sa VR
    IEEE Trans Biomed Eng; 2007 Mar; 54(3):518-25. PubMed ID: 17355065
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Conventional and wavelet coherence applied to sensory-evoked electrical brain activity.
    Klein A; Sauer T; Jedynak A; Skrandies W
    IEEE Trans Biomed Eng; 2006 Feb; 53(2):266-72. PubMed ID: 16485755
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.