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Items: 1 to 20 of 111

1.

Feature selection on movement imagery discrimination and attention detection.

Dias NS, Kamrunnahar M, Mendes PM, Schiff SJ, Correia JH.

Med Biol Eng Comput. 2010 Apr;48(4):331-41. doi: 10.1007/s11517-010-0578-1.

2.

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
3.

Visual gate for brain-computer interfaces.

Dias NS, Jacinto LR, Mendes PM, Correia JH.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:532-5. doi: 10.1109/IEMBS.2009.5333496.

PMID:
19963969
4.
5.

EEG-based classification of imaginary left and right foot movements using beta rebound.

Hashimoto Y, Ushiba J.

Clin Neurophysiol. 2013 Nov;124(11):2153-60. doi: 10.1016/j.clinph.2013.05.006.

PMID:
23757379
6.

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
7.

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. doi: 10.1088/1741-2560/5/1/003.

PMID:
18310808
8.

Optimization of electrode channels in Brain Computer Interfaces.

Kamrunnahar M, Dias NS, Schiff SJ.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:6477-80. doi: 10.1109/IEMBS.2009.5333585.

9.

Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control.

Huang D, Qian K, Fei DY, Jia W, Chen X, Bai O.

IEEE Trans Neural Syst Rehabil Eng. 2012 May;20(3):379-88. doi: 10.1109/TNSRE.2012.2190299.

PMID:
22498703
10.

Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery.

Aydemir O, Kayikcioglu T.

J Neurosci Methods. 2014 May 30;229:68-75. doi: 10.1016/j.jneumeth.2014.04.007.

PMID:
24751647
11.

Uncorrelated multiway discriminant analysis for motor imagery EEG classification.

Liu Y, Zhao Q, Zhang L.

Int J Neural Syst. 2015 Jun;25(4):1550013. doi: 10.1142/S0129065715500136.

PMID:
25986750
12.

Adaptive tracking of discriminative frequency components in electroencephalograms for a robust brain-computer interface.

Thomas KP, Guan C, Lau CT, Vinod AP, Ang KK.

J Neural Eng. 2011 Jun;8(3):036007. doi: 10.1088/1741-2560/8/3/036007.

PMID:
21478575
13.

Discrimination of left and right leg motor imagery for brain-computer interfaces.

Boord P, Craig A, Tran Y, Nguyen H.

Med Biol Eng Comput. 2010 Apr;48(4):343-50. doi: 10.1007/s11517-010-0579-0.

PMID:
20143173
14.

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. doi: 10.1109/TNSRE.2008.926694.

PMID:
18701380
15.

Channel selection by genetic algorithms for classifying single-trial ECoG during motor imagery.

Wei Q, Tu W.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:624-7. doi: 10.1109/IEMBS.2008.4649230.

PMID:
19162733
16.

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. doi: 10.1109/IEMBS.2008.4649239.

PMID:
19162742
17.

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.

PMID:
20332550
18.

Continuous detection of motor imagery in a four-class asynchronous BCI.

Sadeghian EB, Moradi MH.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:3241-4.

PMID:
18002686
19.

Towards adaptive classification for BCI.

Shenoy P, Krauledat M, Blankertz B, Rao RP, Müller KR.

J Neural Eng. 2006 Mar;3(1):R13-23.

PMID:
16510936
20.

Motor imagery classification via combinatory decomposition of ERP and ERSP using sparse nonnegative matrix factorization.

Lu N, Yin T.

J Neurosci Methods. 2015 Jul 15;249:41-9. doi: 10.1016/j.jneumeth.2015.03.031.

PMID:
25845481

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