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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

188 related items for PubMed ID: 22119365

  • 1. A two-stage four-class BCI based on imaginary movements of the left and the right wrist.
    Vučković A, Sepulveda F.
    Med Eng Phys; 2012 Sep; 34(7):964-71. PubMed ID: 22119365
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  • 2. Quantification and visualisation of differences between two motor tasks based on energy density maps for brain-computer interface applications.
    Vuckovic A, Sepulveda F.
    Clin Neurophysiol; 2008 Feb; 119(2):446-58. PubMed ID: 18065266
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  • 4. Asynchronous BCI based on motor imagery with automated calibration and neurofeedback training.
    Kus R, Valbuena D, Zygierewicz J, Malechka T, Graeser A, Durka P.
    IEEE Trans Neural Syst Rehabil Eng; 2012 Nov; 20(6):823-35. PubMed ID: 23033330
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  • 5. 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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  • 7. Using a noninvasive decoding method to classify rhythmic movement imaginations of the arm in two planes.
    Ofner P, Müller-Putz GR.
    IEEE Trans Biomed Eng; 2015 Mar; 62(3):972-81. PubMed ID: 25494495
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  • 11. Improving motor imagery classification with a new BCI design using neuro-fuzzy S-dFasArt.
    Cano-Izquierdo JM, Ibarrola J, Almonacid M.
    IEEE Trans Neural Syst Rehabil Eng; 2012 Jan; 20(1):2-7. PubMed ID: 21997321
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  • 13. Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand.
    Sonkin KM, Stankevich LA, Khomenko JG, Nagornova ZV, Shemyakina NV.
    Artif Intell Med; 2015 Feb; 63(2):107-17. PubMed ID: 25547267
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  • 15. 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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