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Journal Abstract Search


432 related items for PubMed ID: 12899253

  • 1. 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; 11(2):127-31. PubMed ID: 12899253
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  • 2. Online classification of single EEG trials during finger movements.
    Lehtonen J, Jylänki P, Kauhanen L, Sams M.
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):713-20. PubMed ID: 18270008
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  • 3. Classification of single-trial electroencephalogram during finger movement.
    Li Y, Gao X, Liu H, Gao S.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1019-25. PubMed ID: 15188873
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  • 5. 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
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  • 6. 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
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  • 9. The Berlin Brain-Computer Interface: EEG-based communication without subject training.
    Blankertz B, Dornhege G, Krauledat M, Müller KR, Kunzmann V, Losch F, Curio G.
    IEEE Trans Neural Syst Rehabil Eng; 2006 Jun; 14(2):147-52. PubMed ID: 16792281
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  • 12. 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
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  • 13. 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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  • 14. Combined optimization of spatial and temporal filters for improving brain-computer interfacing.
    Dornhege G, Blankertz B, Krauledat M, Losch F, Curio G, Müller KR.
    IEEE Trans Biomed Eng; 2006 Nov; 53(11):2274-81. PubMed ID: 17073333
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  • 17. 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
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  • 19. A fully on-line adaptive BCI.
    Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G.
    IEEE Trans Biomed Eng; 2006 Jun; 53(6):1214-9. PubMed ID: 16761852
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