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Pubmed for Handhelds

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Journal Abstract Search

224 related items for PubMed ID: 14960111

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  • 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
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  • 3. Enabling computer decisions based on EEG input.
    Culpepper BJ, Keller RM.
    IEEE Trans Neural Syst Rehabil Eng; 2003 Dec; 11(4):354-60. PubMed ID: 14960110
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  • 4. 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; 51(6):1052-6. PubMed ID: 15188877
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  • 6. 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
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  • 11. 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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  • 13. 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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  • 14. 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 15; 55(2):117-26. PubMed ID: 22503644
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  • 16. Transductive SVM for reducing the training effort in BCI.
    Liao X, Yao D, Li C.
    J Neural Eng; 2007 Sep 15; 4(3):246-54. PubMed ID: 17873427
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  • 17. Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing.
    Subasi A, Alkan A, Koklukaya E, Kiymik MK.
    Neural Netw; 2005 Sep 15; 18(7):985-97. PubMed ID: 15921885
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  • 18. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates.
    Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G.
    Biomed Tech (Berl); 2005 Nov 15; 50(11):350-4. PubMed ID: 16370147
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