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Journal Abstract Search


187 related items for PubMed ID: 16133914

  • 1. Recognition of motor imagery electroencephalography using independent component analysis and machine classifiers.
    Hung CI, Lee PL, Wu YT, Chen LF, Yeh TC, Hsieh JC.
    Ann Biomed Eng; 2005 Aug; 33(8):1053-70. PubMed ID: 16133914
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. 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 15; 11(2):141-4. PubMed ID: 12899257
    [Abstract] [Full Text] [Related]

  • 4. Fuzzy support vector machine for classification of EEG signals using wavelet-based features.
    Xu Q, Zhou H, Wang Y, Huang J.
    Med Eng Phys; 2009 Sep 15; 31(7):858-65. PubMed ID: 19487151
    [Abstract] [Full Text] [Related]

  • 5. EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features.
    Hsu WY.
    J Neurosci Methods; 2010 Jun 15; 189(2):295-302. PubMed ID: 20381529
    [Abstract] [Full Text] [Related]

  • 6. Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control.
    Huang D, Lin P, Fei DY, Chen X, Bai O.
    J Neural Eng; 2009 Aug 15; 6(4):046005. PubMed ID: 19556679
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  • 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 15; 2(4):L14-22. PubMed ID: 16317224
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  • 11. Different classification techniques considering brain computer interface applications.
    Rezaei S, Tavakolian K, Nasrabadi AM, Setarehdan SK.
    J Neural Eng; 2006 Jun 15; 3(2):139-44. PubMed ID: 16705270
    [Abstract] [Full Text] [Related]

  • 12. Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface.
    Neuper C, Scherer R, Wriessnegger S, Pfurtscheller G.
    Clin Neurophysiol; 2009 Feb 15; 120(2):239-47. PubMed ID: 19121977
    [Abstract] [Full Text] [Related]

  • 13. Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets.
    Cabrera AF, Dremstrup K.
    J Neurosci Methods; 2008 Sep 15; 174(1):135-46. PubMed ID: 18656500
    [Abstract] [Full Text] [Related]

  • 14. EEG-based motor imagery analysis using weighted wavelet transform features.
    Hsu WY, Sun YN.
    J Neurosci Methods; 2009 Jan 30; 176(2):310-8. PubMed ID: 18848844
    [Abstract] [Full Text] [Related]

  • 15. Classification of EEG signals using neural network and logistic regression.
    Subasi A, Erçelebi E.
    Comput Methods Programs Biomed; 2005 May 30; 78(2):87-99. PubMed ID: 15848265
    [Abstract] [Full Text] [Related]

  • 16. [EEG feature extraction based on ICA and CSP algorithms].
    Li X.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec 30; 27(6):1370-4. PubMed ID: 21374997
    [Abstract] [Full Text] [Related]

  • 17. 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 30; 12(1):48-54. PubMed ID: 15068187
    [Abstract] [Full Text] [Related]

  • 18. 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 30; 13(4):461-7. PubMed ID: 16425827
    [Abstract] [Full Text] [Related]

  • 19. 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 30; 16(4):317-26. PubMed ID: 18701380
    [Abstract] [Full Text] [Related]

  • 20. 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 30; 3(3):235-44. PubMed ID: 16921207
    [Abstract] [Full Text] [Related]


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