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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

366 related items for PubMed ID: 17409476

  • 1. Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy.
    Kamousi B, Amini AN, He B.
    J Neural Eng; 2007 Jun; 4(2):17-25. PubMed ID: 17409476
    [Abstract] [Full Text] [Related]

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

  • 3. 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; 3(3):235-44. PubMed ID: 16921207
    [Abstract] [Full Text] [Related]

  • 4. An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in a brain-computer interface.
    Wang T, He B.
    J Neural Eng; 2004 Mar; 1(1):1-7. PubMed ID: 15876616
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification.
    Herman P, Prasad G, McGinnity TM, Coyle D.
    IEEE Trans Neural Syst Rehabil Eng; 2008 Aug; 16(4):317-26. PubMed ID: 18701380
    [Abstract] [Full Text] [Related]

  • 7. 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
    [Abstract] [Full Text] [Related]

  • 8. Characterization of four-class motor imagery EEG data for the BCI-competition 2005.
    Schlögl A, Lee F, Bischof H, Pfurtscheller G.
    J Neural Eng; 2005 Dec; 2(4):L14-22. PubMed ID: 16317224
    [Abstract] [Full Text] [Related]

  • 9. Multi-channel linear descriptors for event-related EEG collected in brain computer interface.
    Pei XM, Zheng CX, Xu J, Bin GY, Wang HW.
    J Neural Eng; 2006 Mar; 3(1):52-8. PubMed ID: 16510942
    [Abstract] [Full Text] [Related]

  • 10. Studying the use of fuzzy inference systems for motor imagery classification.
    Fabien L, Anatole L, Fabrice L, Bruno A.
    IEEE Trans Neural Syst Rehabil Eng; 2007 Jun; 15(2):322-4. PubMed ID: 17601202
    [Abstract] [Full Text] [Related]

  • 11. Exploring virtual environments with an EEG-based BCI through motor imagery.
    Leeb R, Scherer R, Keinrath C, Guger C, Pfurtscheller G.
    Biomed Tech (Berl); 2005 Apr; 50(4):86-91. PubMed ID: 15884704
    [Abstract] [Full Text] [Related]

  • 12. 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
    [Abstract] [Full Text] [Related]

  • 13. Amplitude and phase coupling measures for feature extraction in an EEG-based brain-computer interface.
    Wei Q, Wang Y, Gao X, Gao S.
    J Neural Eng; 2007 Jun; 4(2):120-9. PubMed ID: 17409486
    [Abstract] [Full Text] [Related]

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  • 15. BCI Competition 2003--Data set III: probabilistic modeling of sensorimotor mu rhythms for classification of imaginary hand movements.
    Lemm S, Schäfer C, Curio G.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1077-80. PubMed ID: 15188882
    [Abstract] [Full Text] [Related]

  • 16. 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]

  • 17. 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
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