180 related articles for article (PubMed ID: 18002657)
1. Time-variant spatial filtering for motor imagery classification.
Zhang H; Wang C; Guan C
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3124-7. PubMed ID: 18002657
[TBL] [Abstract][Full Text] [Related]
2. Trial pruning for classification of single-trial EEG data during motor imagery.
Wang B; Wong C; Wan F; Mak PU; Mak PI; Vai MI
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4666-9. PubMed ID: 21096242
[TBL] [Abstract][Full Text] [Related]
3. Time sparsification of EEG signals in motor-imagery based brain computer interfaces.
Higashi H; Tanaka T
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4271-4. PubMed ID: 23366871
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training.
Liu Y; Zhang H; Chen M; Zhang L
IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):169-79. PubMed ID: 26302519
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. Adaptive spatio-temporal filtering for movement related potentials in EEG-based brain-computer interfaces.
Lu J; Xie K; McFarland DJ
IEEE Trans Neural Syst Rehabil Eng; 2014 Jul; 22(4):847-57. PubMed ID: 24723632
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. BCI Competition 2003--Data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG.
Wang Y; Zhang Z; Li Y; Gao X; Gao S; Yang F
IEEE Trans Biomed Eng; 2004 Jun; 51(6):1081-6. PubMed ID: 15188883
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Binary particle swarm optimization for frequency band selection in motor imagery based brain-computer interfaces.
Wei Q; Wei Z
Biomed Mater Eng; 2015; 26 Suppl 1():S1523-32. PubMed ID: 26405916
[TBL] [Abstract][Full Text] [Related]
16. A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.
Lu N; Li T; Ren X; Miao H
IEEE Trans Neural Syst Rehabil Eng; 2017 Jun; 25(6):566-576. PubMed ID: 27542114
[TBL] [Abstract][Full Text] [Related]
17. Continuous detection of motor imagery in a four-class asynchronous BCI.
Sadeghian EB; Moradi MH
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3241-4. PubMed ID: 18002686
[TBL] [Abstract][Full Text] [Related]
18. 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]
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. PubMed ID: 16003895
[TBL] [Abstract][Full Text] [Related]
20. Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG From Motor Imagery Tasks.
Park C; Took CC; Mandic DP
IEEE Trans Neural Syst Rehabil Eng; 2014 Jan; 22(1):1-10. PubMed ID: 26271130
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
