675 related articles for article (PubMed ID: 18657956)
21. A review on directional information in neural signals for brain-machine interfaces.
Waldert S; Pistohl T; Braun C; Ball T; Aertsen A; Mehring C
J Physiol Paris; 2009; 103(3-5):244-54. PubMed ID: 19665554
[TBL] [Abstract][Full Text] [Related]
22. EEG-based motor imagery analysis using weighted wavelet transform features.
Hsu WY; Sun YN
J Neurosci Methods; 2009 Jan; 176(2):310-8. PubMed ID: 18848844
[TBL] [Abstract][Full Text] [Related]
23. An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential.
Li Y; Long J; Yu T; Yu Z; Wang C; Zhang H; Guan C
IEEE Trans Biomed Eng; 2010 Oct; 57(10):2495-505. PubMed ID: 20615806
[TBL] [Abstract][Full Text] [Related]
24. Studying the use of fuzzy inference systems for motor imagery classification.
Fabien L; Anatole L; Fabrice L; Bruno A
IEEE Trans Neural Syst Rehabil Eng; 2007 Jun; 15(2):322-4. PubMed ID: 17601202
[TBL] [Abstract][Full Text] [Related]
25. Amplitude and phase coupling measures for feature extraction in an EEG-based brain-computer interface.
Wei Q; Wang Y; Gao X; Gao S
J Neural Eng; 2007 Jun; 4(2):120-9. PubMed ID: 17409486
[TBL] [Abstract][Full Text] [Related]
26. A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case.
Romero S; Mañanas MA; Barbanoj MJ
Comput Biol Med; 2008 Mar; 38(3):348-60. PubMed ID: 18222418
[TBL] [Abstract][Full Text] [Related]
27. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.
Bashashati A; Fatourechi M; Ward RK; Birch GE
J Neural Eng; 2007 Jun; 4(2):R32-57. PubMed ID: 17409474
[TBL] [Abstract][Full Text] [Related]
28. Brain activity is similar during precision and power gripping with light force: an fMRI study.
Kuhtz-Buschbeck JP; Gilster R; Wolff S; Ulmer S; Siebner H; Jansen O
Neuroimage; 2008 May; 40(4):1469-81. PubMed ID: 18316207
[TBL] [Abstract][Full Text] [Related]
29. Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring.
Müller KR; Tangermann M; Dornhege G; Krauledat M; Curio G; Blankertz B
J Neurosci Methods; 2008 Jan; 167(1):82-90. PubMed ID: 18031824
[TBL] [Abstract][Full Text] [Related]
30. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.
Güler I; Ubeyli ED
J Neurosci Methods; 2005 Oct; 148(2):113-21. PubMed ID: 16054702
[TBL] [Abstract][Full Text] [Related]
31. Brain-computer interfaces (BCIs): detection instead of classification.
Schalk G; Brunner P; Gerhardt LA; Bischof H; Wolpaw JR
J Neurosci Methods; 2008 Jan; 167(1):51-62. PubMed ID: 17920134
[TBL] [Abstract][Full Text] [Related]
32. Breaking the silence: brain-computer interfaces (BCI) for communication and motor control.
Birbaumer N
Psychophysiology; 2006 Nov; 43(6):517-32. PubMed ID: 17076808
[TBL] [Abstract][Full Text] [Related]
33. Task-dependent signal variations in EEG error-related potentials for brain-computer interfaces.
Iturrate I; Montesano L; Minguez J
J Neural Eng; 2013 Apr; 10(2):026024. PubMed ID: 23528750
[TBL] [Abstract][Full Text] [Related]
34. Extraction and localization of mesoscopic motor control signals for human ECoG neuroprosthetics.
Sanchez JC; Gunduz A; Carney PR; Principe JC
J Neurosci Methods; 2008 Jan; 167(1):63-81. PubMed ID: 17582507
[TBL] [Abstract][Full Text] [Related]
35. EEG changes accompanying learned regulation of 12-Hz EEG activity.
Delorme A; Makeig S
IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):133-7. PubMed ID: 12899255
[TBL] [Abstract][Full Text] [Related]
36. Physiological regulation of thinking: brain-computer interface (BCI) research.
Birbaumer N; Weber C; Neuper C; Buch E; Haapen K; Cohen L
Prog Brain Res; 2006; 159():369-91. PubMed ID: 17071243
[TBL] [Abstract][Full Text] [Related]
37. 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. PubMed ID: 22414728
[TBL] [Abstract][Full Text] [Related]
38. Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis.
Miwakeichi F; Martínez-Montes E; Valdés-Sosa PA; Nishiyama N; Mizuhara H; Yamaguchi Y
Neuroimage; 2004 Jul; 22(3):1035-45. PubMed ID: 15219576
[TBL] [Abstract][Full Text] [Related]
39. Recognition of motor imagery electroencephalography using independent component analysis and machine classifiers.
Hung CI; Lee PL; Wu YT; Chen LF; Yeh TC; Hsieh JC
Ann Biomed Eng; 2005 Aug; 33(8):1053-70. PubMed ID: 16133914
[TBL] [Abstract][Full Text] [Related]
40. Which physiological components are more suitable for visual ERP based brain-computer interface? A preliminary MEG/EEG study.
Bianchi L; Sami S; Hillebrand A; Fawcett IP; Quitadamo LR; Seri S
Brain Topogr; 2010 Jun; 23(2):180-5. PubMed ID: 20405196
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
