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    Results: 1 to 20 of 406

    1.

    A brain-computer interface with vibrotactile biofeedback for haptic information.

    Chatterjee A, Aggarwal V, Ramos A, Acharya S, Thakor NV.

    J Neuroeng Rehabil. 2007 Oct 17;4:40.PMID: 17941986 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Preliminary experimentation on vibrotactile feedback in the context of mu-rhythm based BCI.

    Cincotti F, Kauhanen L, Aloise F, Palomaki T, Caporusso N, Jylänki P, Babiloni F, Vanacker G, Nuttin M, Marciani MG, Del R Millan J, Mattia D.

    Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4739-42.PMID: 18003064 [PubMed - indexed for MEDLINE]Related articles

    3.

    Neurofeedback-based motor imagery training for brain-computer interface (BCI).

    Hwang HJ, Kwon K, Im CH.

    J Neurosci Methods. 2009 Apr 30;179(1):150-6. Epub 2009 Jan 29.PMID: 19428521 [PubMed - indexed for MEDLINE]Related articles

    4.

    Model analyses of visual biofeedback training for EEG-based brain-computer interface.

    Chen CW, Ju MS, Sun YN, Lin CC.

    J Comput Neurosci. 2009 Dec;27(3):357-68. Epub 2009 Apr 9.PMID: 19357940 [PubMed - indexed for MEDLINE]Related articles

    5.

    How many people are able to control a P300-based brain-computer interface (BCI)?

    Guger C, Daban S, Sellers E, Holzner C, Krausz G, Carabalona R, Gramatica F, Edlinger G.

    Neurosci Lett. 2009 Oct 2;462(1):94-8. Epub 2009 Jun 21.PMID: 19545601 [PubMed - indexed for MEDLINE]Related articles

    6.

    Brain-computer interface (BCI) operation: signal and noise during early training sessions.

    McFarland DJ, Sarnacki WA, Vaughan TM, Wolpaw JR.

    Clin Neurophysiol. 2005 Jan;116(1):56-62.PMID: 15589184 [PubMed - indexed for MEDLINE]Related articles

    7.

    High-resolution EEG techniques for brain-computer interface applications.

    Cincotti F, Mattia D, Aloise F, Bufalari S, Astolfi L, De Vico Fallani F, Tocci A, Bianchi L, Marciani MG, Gao S, Millan J, Babiloni F.

    J Neurosci Methods. 2008 Jan 15;167(1):31-42. Epub 2007 Jul 10.PMID: 17706292 [PubMed - indexed for MEDLINE]Related articles

    8.

    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.PMID: 18838371 [PubMed - indexed for MEDLINE]Related articles

    9.

    Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials.

    Trejo LJ, Rosipal R, Matthews B.

    IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):225-9.PMID: 16792300 [PubMed - indexed for MEDLINE]Related articles

    10.

    A high performance sensorimotor beta rhythm-based brain-computer interface associated with human natural motor behavior.

    Bai O, Lin P, Vorbach S, Floeter MK, Hattori N, Hallett M.

    J Neural Eng. 2008 Mar;5(1):24-35. Epub 2007 Dec 11.PMID: 18310808 [PubMed - indexed for MEDLINE]Related articles

    11.

    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.PMID: 15884704 [PubMed - indexed for MEDLINE]Related articles

    12.

    Toward self-paced brain-computer communication: navigation through virtual worlds.

    Scherer R, Lee F, Schlogl A, Leeb R, Bischof H, Pfurtscheller G.

    IEEE Trans Biomed Eng. 2008 Feb;55(2 Pt 1):675-82.PMID: 18270004 [PubMed - indexed for MEDLINE]Related articles

    13.

    Conversion of EEG activity into cursor movement by a brain-computer interface (BCI).

    Fabiani GE, McFarland DJ, Wolpaw JR, Pfurtscheller G.

    IEEE Trans Neural Syst Rehabil Eng. 2004 Sep;12(3):331-8.PMID: 15473195 [PubMed - indexed for MEDLINE]Related articles

    14.

    Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control.

    Huang D, Lin P, Fei DY, Chen X, Bai O.

    J Neural Eng. 2009 Aug;6(4):046005. Epub 2009 Jun 25.PMID: 19556679 [PubMed - indexed for MEDLINE]Related articles

    15.

    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. Epub 2009 Jan 3.PMID: 19121977 [PubMed - indexed for MEDLINE]Related articles

    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.PMID: 12899254 [PubMed - indexed for MEDLINE]Related articles

    17.

    Estimation of optimal location of EEG reference electrode for motor imagery based BCI using fMRI.

    Choi SH, Lee M, Wang Y, Hong B.

    Conf Proc IEEE Eng Med Biol Soc. 2006;1:1193-6.PMID: 17946448 [PubMed - indexed for MEDLINE]Related articles

    18.

    Improving the performance of brain-computer interface through meditation practicing.

    Eskandari P, Erfanian A.

    Conf Proc IEEE Eng Med Biol Soc. 2008;2008:662-5.PMID: 19162742 [PubMed - indexed for MEDLINE]Related articles

    19.

    Implementation of a brain-computer interface based on three states of motor imagery.

    Wang Y, Hong B, Gao X, Gao S.

    Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5059-62.PMID: 18003143 [PubMed - indexed for MEDLINE]Related articles

    20.

    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.PMID: 16003895 [PubMed - indexed for MEDLINE]Related articles

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