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Items: 1 to 20 of 151

1.

[Bayesian classifier for brain-computer interface based on mental representation of movements].

Bobrov PD, Korshakov AV, Roshchin VIu, Frolov AA.

Zh Vyssh Nerv Deiat Im I P Pavlova. 2012 Jan-Feb;62(1):89-99. Russian.

PMID:
22567990
2.

Brain-computer interface based on generation of visual images.

Bobrov P, Frolov A, Cantor C, Fedulova I, Bakhnyan M, Zhavoronkov A.

PLoS One. 2011;6(6):e20674. doi: 10.1371/journal.pone.0020674. Epub 2011 Jun 10.

3.

A brain-computer interface method combined with eye tracking for 3D interaction.

Lee EC, Woo JC, Kim JH, Whang M, Park KR.

J Neurosci Methods. 2010 Jul 15;190(2):289-98. doi: 10.1016/j.jneumeth.2010.05.008. Epub 2010 May 16.

PMID:
20580646
4.

Classification effects of real and imaginary movement selective attention tasks on a P300-based brain-computer interface.

Salvaris M, Sepulveda F.

J Neural Eng. 2010 Oct;7(5):056004. doi: 10.1088/1741-2560/7/5/056004. Epub 2010 Sep 1.

PMID:
20811088
5.

Toward a hybrid brain-computer interface based on imagined movement and visual attention.

Allison BZ, Brunner C, Kaiser V, Müller-Putz GR, Neuper C, Pfurtscheller G.

J Neural Eng. 2010 Apr;7(2):26007. doi: 10.1088/1741-2560/7/2/026007. Epub 2010 Mar 23.

PMID:
20332550
6.

A latent discriminative model-based approach for classification of imaginary motor tasks from EEG data.

Saa JF, Çetin M.

J Neural Eng. 2012 Apr;9(2):026020. doi: 10.1088/1741-2560/9/2/026020. Epub 2012 Mar 14.

PMID:
22414728
7.

The impact of loss of control on movement BCIs.

Reuderink B, Poel M, Nijholt A.

IEEE Trans Neural Syst Rehabil Eng. 2011 Dec;19(6):628-37. doi: 10.1109/TNSRE.2011.2166562. Epub 2011 Oct 6.

PMID:
21984517
8.

(C)overt attention and visual speller design in an ERP-based brain-computer interface.

Treder MS, Blankertz B.

Behav Brain Funct. 2010 May 28;6:28. doi: 10.1186/1744-9081-6-28.

9.

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
10.

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. doi: 10.1109/TNSRE.2012.2214789. Epub 2012 Sep 24.

PMID:
23033330
11.

Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets.

Cabrera AF, Dremstrup K.

J Neurosci Methods. 2008 Sep 15;174(1):135-46. doi: 10.1016/j.jneumeth.2008.06.026. Epub 2008 Jul 6. Erratum in: J Neurosci Methods. 2009 Feb 15;177(1):258.

PMID:
18656500
12.

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. doi: 10.1109/TNSRE.2011.2169991. Epub 2011 Oct 13.

PMID:
21997321
13.

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. doi: 10.1016/j.medengphy.2011.11.001. Epub 2011 Nov 26.

PMID:
22119365
14.

Different classification techniques considering brain computer interface applications.

Rezaei S, Tavakolian K, Nasrabadi AM, Setarehdan SK.

J Neural Eng. 2006 Jun;3(2):139-44. Epub 2006 May 16.

PMID:
16705270
15.

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
16.

Current trends in Graz Brain-Computer Interface (BCI) research.

Pfurtscheller G, Neuper C, Guger C, Harkam W, Ramoser H, Schlögl A, Obermaier B, Pregenzer M.

IEEE Trans Rehabil Eng. 2000 Jun;8(2):216-9.

PMID:
10896192
17.

Classification of movement intention by spatially filtered electromagnetic inverse solutions.

Congedo M, Lotte F, Lécuyer A.

Phys Med Biol. 2006 Apr 21;51(8):1971-89. Epub 2006 Mar 30.

PMID:
16585840
18.

Continuous EEG classification during motor imagery--simulation of an asynchronous BCI.

Townsend G, Graimann B, Pfurtscheller G.

IEEE Trans Neural Syst Rehabil Eng. 2004 Jun;12(2):258-65.

PMID:
15218939
19.

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
20.

Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.

Yoon JW, Roberts SJ, Dyson M, Gan JQ.

Neural Netw. 2009 Nov;22(9):1286-94. doi: 10.1016/j.neunet.2009.06.005. Epub 2009 Jun 27.

PMID:
19608382

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