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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

585 related items for PubMed ID: 19487151

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  • 3. 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
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  • 4. 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
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  • 6. Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain-computer interface.
    Siuly S, Li Y.
    IEEE Trans Neural Syst Rehabil Eng; 2012 Jul 15; 20(4):526-38. PubMed ID: 22287252
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  • 7. Identification of the phase code in an EEG during gripping-force tasks: a possible alternative approach to the development of the brain-computer interfaces.
    Logar V, Skrjanc I, Belic A, Brezan S, Koritnik B, Zidar J.
    Artif Intell Med; 2008 Sep 15; 44(1):41-9. PubMed ID: 18657956
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  • 8. BCI competition III: dataset II- ensemble of SVMs for BCI P300 speller.
    Rakotomamonjy A, Guigue V.
    IEEE Trans Biomed Eng; 2008 Mar 15; 55(3):1147-54. PubMed ID: 18334407
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  • 12. BCI Competition 2003--Data set Ia: combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals.
    Mensh BD, Werfel J, Seung HS.
    IEEE Trans Biomed Eng; 2004 Jun 15; 51(6):1052-6. PubMed ID: 15188877
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  • 13. A comparative study of surface EMG classification by fuzzy relevance vector machine and fuzzy support vector machine.
    Xie HB, Huang H, Wu J, Liu L.
    Physiol Meas; 2015 Feb 15; 36(2):191-206. PubMed ID: 25571959
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  • 15. 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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  • 16. Faster self-organizing fuzzy neural network training and a hyperparameter analysis for a brain-computer interface.
    Coyle D, Prasad G, McGinnity TM.
    IEEE Trans Syst Man Cybern B Cybern; 2009 Dec 15; 39(6):1458-71. PubMed ID: 19493851
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  • 17. Classification of EEG signals using neural network and logistic regression.
    Subasi A, Erçelebi E.
    Comput Methods Programs Biomed; 2005 May 15; 78(2):87-99. PubMed ID: 15848265
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  • 18. The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials.
    Blankertz B, Müller KR, Curio G, Vaughan TM, Schalk G, Wolpaw JR, Schlögl A, Neuper C, Pfurtscheller G, Hinterberger T, Schröder M, Birbaumer N.
    IEEE Trans Biomed Eng; 2004 Jun 15; 51(6):1044-51. PubMed ID: 15188876
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