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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

1087 related items for PubMed ID: 12899257

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. The use of EEG modifications due to motor imagery for brain-computer interfaces.
    Cincotti F, Mattia D, Babiloni C, Carducci F, Salinari S, Bianchi L, Marciani MG, Babiloni F.
    IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):131-3. PubMed ID: 12899254
    [Abstract] [Full Text] [Related]

  • 4. BCI Competition 2003--Data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG.
    Wang Y, Zhang Z, Li Y, Gao X, Gao S, Yang F.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1081-6. PubMed ID: 15188883
    [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
    [Abstract] [Full Text] [Related]

  • 6. Combining spatial filters for the classification of single-trial EEG in a finger movement task.
    Liao X, Yao D, Wu D, Li C.
    IEEE Trans Biomed Eng; 2007 May; 54(5):821-31. PubMed ID: 17518278
    [Abstract] [Full Text] [Related]

  • 7. [Analysis and research of brain-computer interface experiments for imaging left-right hands movement].
    Wu Y, He Q, Huang H, Zhang L, Zhuo Y, Xie Q, Wu B.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Oct; 25(5):983-8. PubMed ID: 19024431
    [Abstract] [Full Text] [Related]

  • 8. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
    Yang J, Singh H, Hines EL, Schlaghecken F, Iliescu DD, Leeson MS, Stocks NG.
    Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
    [Abstract] [Full Text] [Related]

  • 9. Plausibility assessment of a 2-state self-paced mental task-based BCI using the no-control performance analysis.
    Faradji F, Ward RK, Birch GE.
    J Neurosci Methods; 2009 Jun 15; 180(2):330-9. PubMed ID: 19439361
    [Abstract] [Full Text] [Related]

  • 10. 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 15; 12(3):331-8. PubMed ID: 15473195
    [Abstract] [Full Text] [Related]

  • 11. Utilizing gamma band to improve mental task based brain-computer interface design.
    Palaniappan R.
    IEEE Trans Neural Syst Rehabil Eng; 2006 Sep 15; 14(3):299-303. PubMed ID: 17009489
    [Abstract] [Full Text] [Related]

  • 12. Evolutionary optimization of classifiers and features for single-trial EEG discrimination.
    Aberg MC, Wessberg J.
    Biomed Eng Online; 2007 Aug 23; 6():32. PubMed ID: 17716370
    [Abstract] [Full Text] [Related]

  • 13. Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis.
    Blankertz B, Dornhege G, Schäfer C, Krepki R, Kohlmorgen J, Müller KR, Kunzmann V, Losch F, Curio G.
    IEEE Trans Neural Syst Rehabil Eng; 2003 Jun 23; 11(2):127-31. PubMed ID: 12899253
    [Abstract] [Full Text] [Related]

  • 14. 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 23; 4(2):R32-57. PubMed ID: 17409474
    [Abstract] [Full Text] [Related]

  • 15. 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 23; 13(2):166-71. PubMed ID: 16003895
    [Abstract] [Full Text] [Related]

  • 16. Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings.
    Ince NF, Arica S, Tewfik A.
    J Neural Eng; 2006 Sep 23; 3(3):235-44. PubMed ID: 16921207
    [Abstract] [Full Text] [Related]

  • 17. 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 23; 4(2):R1-R13. PubMed ID: 17409472
    [Abstract] [Full Text] [Related]

  • 18. Geometric subspace methods and time-delay embedding for EEG artifact removal and classification.
    Anderson CW, Knight JN, O'Connor T, Kirby MJ, Sokolov A.
    IEEE Trans Neural Syst Rehabil Eng; 2006 Jun 23; 14(2):142-6. PubMed ID: 16792280
    [Abstract] [Full Text] [Related]

  • 19. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.
    Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G.
    IEEE Trans Biomed Eng; 2007 Mar 23; 54(3):550-6. PubMed ID: 17355071
    [Abstract] [Full Text] [Related]

  • 20. A parametric feature extraction and classification strategy for brain-computer interfacing.
    Burke DP, Kelly SP, de Chazal P, Reilly RB, Finucane C.
    IEEE Trans Neural Syst Rehabil Eng; 2005 Mar 23; 13(1):12-7. PubMed ID: 15813401
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 55.