173 related articles for article (PubMed ID: 17946524)
1. A space-time-frequency analysis approach for the classification motor imagery EEG recordings in a brain computer interface task.
Ince NF; Tewfik AH; Arica S
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2581-4. PubMed ID: 17946524
[TBL] [Abstract][Full Text] [Related]
2. Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings.
Ince NF; Arica S; Tewfik A
J Neural Eng; 2006 Sep; 3(3):235-44. PubMed ID: 16921207
[TBL] [Abstract][Full Text] [Related]
3. A new discriminative common spatial pattern method for motor imagery brain-computer interfaces.
Thomas KP; Guan C; Lau CT; Vinod AP; Ang KK
IEEE Trans Biomed Eng; 2009 Nov; 56(11 Pt 2):2730-3. PubMed ID: 19605314
[TBL] [Abstract][Full Text] [Related]
4. Classification of EEG with structural feature dictionaries in a brain computer interface.
Göksu F; Ince NF; Tadipatri VA; Tewfik AH
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1001-4. PubMed ID: 19162827
[TBL] [Abstract][Full Text] [Related]
5. Task-irrelevant alpha component analysis in motor imagery based brain computer interface.
Lou B; Hong B; Gao S
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1021-4. PubMed ID: 19162832
[TBL] [Abstract][Full Text] [Related]
6. An adaptive filter bank for motor imagery based Brain Computer Interface.
Thomas KP; Guan C; Tong LC; Prasad VA
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1104-7. PubMed ID: 19162856
[TBL] [Abstract][Full Text] [Related]
7. A frequency-temporal-spatial method for motor-related electroencephalography pattern recognition by comprehensive feature optimization.
Wu B; Yang F; Zhang J; Wang Y; Zheng X; Chen W
Comput Biol Med; 2012 Apr; 42(4):353-63. PubMed ID: 22348825
[TBL] [Abstract][Full Text] [Related]
8. Enhancing the performance of motor imagery EEG classification using phase features.
Hsu WY
Clin EEG Neurosci; 2015 Apr; 46(2):113-8. PubMed ID: 25404753
[TBL] [Abstract][Full Text] [Related]
9. Creating a nonparametric brain-computer interface with neural time-series prediction preprocessing.
Coyle D; McGinnity TM; Prasad G
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2183-6. PubMed ID: 17946502
[TBL] [Abstract][Full Text] [Related]
10. Classification of motor imagery BCI using multivariate empirical mode decomposition.
Park C; Looney D; Naveed ur Rehman ; Ahrabian A; Mandic DP
IEEE Trans Neural Syst Rehabil Eng; 2013 Jan; 21(1):10-22. PubMed ID: 23204288
[TBL] [Abstract][Full Text] [Related]
11. Bispectrum-based feature extraction technique for devising a practical brain-computer interface.
Shahid S; Prasad G
J Neural Eng; 2011 Apr; 8(2):025014. PubMed ID: 21436530
[TBL] [Abstract][Full Text] [Related]
12. Multi-class filter bank common spatial pattern for four-class motor imagery BCI.
Chin ZY; Ang KK; Wang C; Guan C; Zhang H
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():571-4. PubMed ID: 19963466
[TBL] [Abstract][Full Text] [Related]
13. Effect of feature and channel selection on EEG classification.
Al-Ani A; Al-Sukker A
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2171-4. PubMed ID: 17946093
[TBL] [Abstract][Full Text] [Related]
14. Channel selection by genetic algorithms for classifying single-trial ECoG during motor imagery.
Wei Q; Tu W
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():624-7. PubMed ID: 19162733
[TBL] [Abstract][Full Text] [Related]
15. 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. PubMed ID: 16003895
[TBL] [Abstract][Full Text] [Related]
16. Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy.
Kamousi B; Amini AN; He B
J Neural Eng; 2007 Jun; 4(2):17-25. PubMed ID: 17409476
[TBL] [Abstract][Full Text] [Related]
17. A semi-supervised SVM learning algorithm for joint feature extraction and classification in brain computer interfaces.
Li Y; Guan C
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2570-3. PubMed ID: 17945723
[TBL] [Abstract][Full Text] [Related]
18. Feature extraction and subset selection for classifying single-trial ECoG during motor imagery.
Wei Q; Gao X; Gao S
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1589-92. PubMed ID: 17946051
[TBL] [Abstract][Full Text] [Related]
19. 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. PubMed ID: 15218939
[TBL] [Abstract][Full Text] [Related]
20. An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in a brain-computer interface.
Wang T; He B
J Neural Eng; 2004 Mar; 1(1):1-7. PubMed ID: 15876616
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]