514 related articles for article (PubMed ID: 24694168)
1. Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis.
Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
Int J Neural Syst; 2014 Jun; 24(4):1450013. PubMed ID: 24694168
[TBL] [Abstract][Full Text] [Related]
2. SSVEP recognition using common feature analysis in brain-computer interface.
Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
J Neurosci Methods; 2015 Apr; 244():8-15. PubMed ID: 24727656
[TBL] [Abstract][Full Text] [Related]
3. A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface.
Jiao Y; Zhang Y; Wang Y; Wang B; Jin J; Wang X
Int J Neural Syst; 2018 May; 28(4):1750039. PubMed ID: 28982285
[TBL] [Abstract][Full Text] [Related]
4. L1-regularized Multiway canonical correlation analysis for SSVEP-based BCI.
Zhang Y; Zhou G; Jin J; Wang M; Wang X; Cichocki A
IEEE Trans Neural Syst Rehabil Eng; 2013 Nov; 21(6):887-96. PubMed ID: 24122565
[TBL] [Abstract][Full Text] [Related]
5. Sequence detection analysis based on canonical correlation for steady-state visual evoked potential brain computer interfaces.
Cao L; Ju Z; Li J; Jian R; Jiang C
J Neurosci Methods; 2015 Sep; 253():10-7. PubMed ID: 26014663
[TBL] [Abstract][Full Text] [Related]
6. Multivariate synchronization index for frequency recognition of SSVEP-based brain-computer interface.
Zhang Y; Xu P; Cheng K; Yao D
J Neurosci Methods; 2014 Jan; 221():32-40. PubMed ID: 23928153
[TBL] [Abstract][Full Text] [Related]
7. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface.
Chen X; Wang Y; Gao S; Jung TP; Gao X
J Neural Eng; 2015 Aug; 12(4):046008. PubMed ID: 26035476
[TBL] [Abstract][Full Text] [Related]
8. An Idle-State Detection Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Maximum Evoked Response Spatial Filter.
Zhang D; Huang B; Wu W; Li S
Int J Neural Syst; 2015 Nov; 25(7):1550030. PubMed ID: 26246229
[TBL] [Abstract][Full Text] [Related]
9. A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Spatio-Temporal Equalizer.
Yang C; Han X; Wang Y; Saab R; Gao S; Gao X
Int J Neural Syst; 2018 Dec; 28(10):1850028. PubMed ID: 30105920
[TBL] [Abstract][Full Text] [Related]
10. SSVEP recognition by modeling brain activity using system identification based on Box-Jenkins model.
Safi SMM; Pooyan M; Motie Nasrabadi A
Comput Biol Med; 2018 Oct; 101():82-89. PubMed ID: 30114547
[TBL] [Abstract][Full Text] [Related]
11. Periodic component analysis as a spatial filter for SSVEP-based brain-computer interface.
Kiran Kumar GR; Ramasubba Reddy M
J Neurosci Methods; 2018 Sep; 307():164-174. PubMed ID: 29890196
[TBL] [Abstract][Full Text] [Related]
12. Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI.
Chang MH; Lee JS; Heo J; Park KS
J Neurosci Methods; 2016 Jan; 258():104-13. PubMed ID: 26561770
[TBL] [Abstract][Full Text] [Related]
13. Enhancing performances of SSVEP-based brain-computer interfaces via exploiting inter-subject information.
Yuan P; Chen X; Wang Y; Gao X; Gao S
J Neural Eng; 2015 Aug; 12(4):046006. PubMed ID: 26028259
[TBL] [Abstract][Full Text] [Related]
14. Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.
Rabiul Islam M; Khademul Islam Molla M; Nakanishi M; Tanaka T
J Neural Eng; 2017 Apr; 14(2):026007. PubMed ID: 28071599
[TBL] [Abstract][Full Text] [Related]
15. Complex sparse spatial filter for decoding mixed frequency and phase coded steady-state visually evoked potentials.
Morikawa N; Tanaka T; Islam MR
J Neurosci Methods; 2018 Jul; 304():1-10. PubMed ID: 29653130
[TBL] [Abstract][Full Text] [Related]
16. A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface.
Chen YF; Atal K; Xie SQ; Liu Q
J Neural Eng; 2017 Aug; 14(4):046028. PubMed ID: 28357991
[TBL] [Abstract][Full Text] [Related]
17. Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI.
Wang H; Zhang Y; Waytowich NR; Krusienski DJ; Zhou G; Jin J; Wang X; Cichocki A
IEEE Trans Neural Syst Rehabil Eng; 2016 May; 24(5):532-41. PubMed ID: 26812728
[TBL] [Abstract][Full Text] [Related]
18. A Training Data-Driven Canonical Correlation Analysis Algorithm for Designing Spatial Filters to Enhance Performance of SSVEP-Based BCIs.
Wei Q; Zhu S; Wang Y; Gao X; Guo H; Wu X
Int J Neural Syst; 2020 May; 30(5):2050020. PubMed ID: 32380925
[TBL] [Abstract][Full Text] [Related]
19. An approach for brain-controlled prostheses based on Scene Graph Steady-State Visual Evoked Potentials.
Li R; Zhang X; Li H; Zhang L; Lu Z; Chen J
Brain Res; 2018 Aug; 1692():142-153. PubMed ID: 29777674
[TBL] [Abstract][Full Text] [Related]
20. Latent common source extraction via a generalized canonical correlation framework for frequency recognition in SSVEP based brain-computer interfaces.
Kiran Kumar GR; Ramasubba Reddy M
J Neural Eng; 2019 Aug; 16(4):046004. PubMed ID: 30917349
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
