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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

268 related items for PubMed ID: 18065266

  • 1. 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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  • 3. 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; 120(2):239-47. PubMed ID: 19121977
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  • 7. Wavelet packet-based independent component analysis for feature extraction from motor imagery EEG of complex movements.
    Zhou Z, Wan B.
    Clin Neurophysiol; 2012 Sep; 123(9):1779-88. PubMed ID: 22464489
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  • 8. 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; 3(3):235-44. PubMed ID: 16921207
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  • 9. 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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  • 10. 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; 16(4):317-26. PubMed ID: 18701380
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  • 16. 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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  • 19. Multi-channel linear descriptors for event-related EEG collected in brain computer interface.
    Pei XM, Zheng CX, Xu J, Bin GY, Wang HW.
    J Neural Eng; 2006 Mar; 3(1):52-8. PubMed ID: 16510942
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  • 20. The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjects.
    Blankertz B, Losch F, Krauledat M, Dornhege G, Curio G, Müller KR.
    IEEE Trans Biomed Eng; 2008 Oct; 55(10):2452-62. PubMed ID: 18838371
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