698 related articles for article (PubMed ID: 16705270)
1. 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. PubMed ID: 16705270
[TBL] [Abstract][Full Text] [Related]
2. A review of classification algorithms for EEG-based brain-computer interfaces.
Lotte F; Congedo M; Lécuyer A; Lamarche F; Arnaldi B
J Neural Eng; 2007 Jun; 4(2):R1-R13. PubMed ID: 17409472
[TBL] [Abstract][Full Text] [Related]
3. Utilizing gamma band to improve mental task based brain-computer interface design.
Palaniappan R
IEEE Trans Neural Syst Rehabil Eng; 2006 Sep; 14(3):299-303. PubMed ID: 17009489
[TBL] [Abstract][Full Text] [Related]
4. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier.
Boostani R; Moradi MH
J Neural Eng; 2004 Dec; 1(4):212-7. PubMed ID: 15876641
[TBL] [Abstract][Full Text] [Related]
5. Preprocessing and meta-classification for brain-computer interfaces.
Hammon PS; de Sa VR
IEEE Trans Biomed Eng; 2007 Mar; 54(3):518-25. PubMed ID: 17355065
[TBL] [Abstract][Full Text] [Related]
6. Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design.
Huan NJ; Palaniappan R
J Neural Eng; 2004 Sep; 1(3):142-50. PubMed ID: 15876633
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates.
Vidaurre C; Schlögl A; Cabeza R; Scherer R; Pfurtscheller G
Biomed Tech (Berl); 2005 Nov; 50(11):350-4. PubMed ID: 16370147
[TBL] [Abstract][Full Text] [Related]
9. Plausibility assessment of a 2-state self-paced mental task-based BCI using the no-control performance analysis.
Faradji F; Ward RK; Birch GE
J Neurosci Methods; 2009 Jun; 180(2):330-9. PubMed ID: 19439361
[TBL] [Abstract][Full Text] [Related]
10. Transductive SVM for reducing the training effort in BCI.
Liao X; Yao D; Li C
J Neural Eng; 2007 Sep; 4(3):246-54. PubMed ID: 17873427
[TBL] [Abstract][Full Text] [Related]
11. Single-trial EEG source reconstruction for brain-computer interface.
Noirhomme Q; Kitney RI; Macq B
IEEE Trans Biomed Eng; 2008 May; 55(5):1592-601. PubMed ID: 18440905
[TBL] [Abstract][Full Text] [Related]
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
[TBL] [Abstract][Full Text] [Related]
13. Combined optimization of spatial and temporal filters for improving brain-computer interfacing.
Dornhege G; Blankertz B; Krauledat M; Losch F; Curio G; Müller KR
IEEE Trans Biomed Eng; 2006 Nov; 53(11):2274-81. PubMed ID: 17073333
[TBL] [Abstract][Full Text] [Related]
14. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification.
Garrett D; Peterson DA; Anderson CW; Thaut MH
IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):141-4. PubMed ID: 12899257
[TBL] [Abstract][Full Text] [Related]
15. Geometric subspace methods and time-delay embedding for EEG artifact removal and classification.
Anderson CW; Knight JN; O'Connor T; Kirby MJ; Sokolov A
IEEE Trans Neural Syst Rehabil Eng; 2006 Jun; 14(2):142-6. PubMed ID: 16792280
[TBL] [Abstract][Full Text] [Related]
16. BCI Competition 2003--Data set Ia: combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals.
Mensh BD; Werfel J; Seung HS
IEEE Trans Biomed Eng; 2004 Jun; 51(6):1052-6. PubMed ID: 15188877
[TBL] [Abstract][Full Text] [Related]
17. A time-series prediction approach for feature extraction in a brain-computer interface.
Coyle D; Prasad G; McGinnity TM
IEEE Trans Neural Syst Rehabil Eng; 2005 Dec; 13(4):461-7. PubMed ID: 16425827
[TBL] [Abstract][Full Text] [Related]
18. A parametric feature extraction and classification strategy for brain-computer interfacing.
Burke DP; Kelly SP; de Chazal P; Reilly RB; Finucane C
IEEE Trans Neural Syst Rehabil Eng; 2005 Mar; 13(1):12-7. PubMed ID: 15813401
[TBL] [Abstract][Full Text] [Related]
19. Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.
Sykacek P; Roberts SJ; Stokes M
IEEE Trans Biomed Eng; 2004 May; 51(5):719-27. PubMed ID: 15132497
[TBL] [Abstract][Full Text] [Related]
20. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components.
Müller-Putz GR; Scherer R; Brauneis C; Pfurtscheller G
J Neural Eng; 2005 Dec; 2(4):123-30. PubMed ID: 16317236
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
