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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

591 related items for PubMed ID: 18701380

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  • 3. A new discriminative common spatial pattern method for motor imagery brain-computer interfaces.
    Thomas KP, Guan C, Lau CT, Vinod AP, Ang KK.
    IEEE Trans Biomed Eng; 2009 Nov; 56(11 Pt 2):2730-3. PubMed ID: 19605314
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  • 5. Bispectrum-based feature extraction technique for devising a practical brain-computer interface.
    Shahid S, Prasad G.
    J Neural Eng; 2011 Apr; 8(2):025014. PubMed ID: 21436530
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  • 6. An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in a brain-computer interface.
    Wang T, He B.
    J Neural Eng; 2004 Mar; 1(1):1-7. PubMed ID: 15876616
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  • 7. 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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  • 9. Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy.
    Kamousi B, Amini AN, He B.
    J Neural Eng; 2007 Jun; 4(2):17-25. PubMed ID: 17409476
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  • 12. 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; 2(4):L14-22. PubMed ID: 16317224
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  • 16. 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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  • 18. 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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