1186 related articles for article (PubMed ID: 33823492)
1. Online detection of class-imbalanced error-related potentials evoked by motor imagery.
Liu Q; Zheng W; Chen K; Ma L; Ai Q
J Neural Eng; 2021 Apr; 18(4):. PubMed ID: 33823492
[No Abstract] [Full Text] [Related]
2. Feature extraction of four-class motor imagery EEG signals based on functional brain network.
Ai Q; Chen A; Chen K; Liu Q; Zhou T; Xin S; Ji Z
J Neural Eng; 2019 Apr; 16(2):026032. PubMed ID: 30699389
[TBL] [Abstract][Full Text] [Related]
3. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
[TBL] [Abstract][Full Text] [Related]
4. CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
Kumar S; Mamun K; Sharma A
Comput Biol Med; 2017 Dec; 91():231-242. PubMed ID: 29100117
[TBL] [Abstract][Full Text] [Related]
5. The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.
Zhang S; Zhu Z; Zhang B; Feng B; Yu T; Li Z
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842635
[TBL] [Abstract][Full Text] [Related]
6. A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study.
Wang K; Wang Z; Guo Y; He F; Qi H; Xu M; Ming D
J Neuroeng Rehabil; 2017 Sep; 14(1):93. PubMed ID: 28893295
[TBL] [Abstract][Full Text] [Related]
7. Classification of error-related potentials from single-trial EEG in association with executed and imagined movements: a feature and classifier investigation.
Usama N; Kunz Leerskov K; Niazi IK; Dremstrup K; Jochumsen M
Med Biol Eng Comput; 2020 Nov; 58(11):2699-2710. PubMed ID: 32862336
[TBL] [Abstract][Full Text] [Related]
8. [Multi-task motor imagery electroencephalogram classification based on adaptive time-frequency common spatial pattern combined with convolutional neural network].
Hu Y; Liu Y; Cheng C; Geng C; Dai B; Peng B; Zhu J; Dai Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1065-1073. PubMed ID: 36575074
[TBL] [Abstract][Full Text] [Related]
9. On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online Brain-Controlled Speller.
Bevilacqua M; Perdikis S; Millan JDR
IEEE Open J Eng Med Biol; 2020; 1():17-22. PubMed ID: 35402943
[No Abstract] [Full Text] [Related]
10. Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue.
Talukdar U; Hazarika SM; Gan JQ
J Neural Eng; 2020 Jan; 17(1):016020. PubMed ID: 31683268
[TBL] [Abstract][Full Text] [Related]
11. Towards the Classification of Error-Related Potentials using Riemannian Geometry.
Tang Y; Zhang JJ; Corballis PM; Hallum LE
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5905-5908. PubMed ID: 34892463
[TBL] [Abstract][Full Text] [Related]
12. A novel channel selection method for optimal classification in different motor imagery BCI paradigms.
Shan H; Xu H; Zhu S; He B
Biomed Eng Online; 2015 Oct; 14():93. PubMed ID: 26489759
[TBL] [Abstract][Full Text] [Related]
13. Distinguishable spatial-spectral feature learning neural network framework for motor imagery-based brain-computer interface.
Liu C; Jin J; Xu R; Li S; Zuo C; Sun H; Wang X; Cichocki A
J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34384059
[No Abstract] [Full Text] [Related]
14. Improvement motor imagery EEG classification based on sparse common spatial pattern and regularized discriminant analysis.
Fu R; Han M; Tian Y; Shi P
J Neurosci Methods; 2020 Sep; 343():108833. PubMed ID: 32619588
[TBL] [Abstract][Full Text] [Related]
15. Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information.
Mahmoudi M; Shamsi M
Australas Phys Eng Sci Med; 2018 Dec; 41(4):957-972. PubMed ID: 30338495
[TBL] [Abstract][Full Text] [Related]
16. A novel method for classification of multi-class motor imagery tasks based on feature fusion.
Hou Y; Chen T; Lun X; Wang F
Neurosci Res; 2022 Mar; 176():40-48. PubMed ID: 34508756
[TBL] [Abstract][Full Text] [Related]
17. Feature Selection Using Extreme Gradient Boosting Bayesian Optimization to upgrade the Classification Performance of Motor Imagery signals for BCI.
Thenmozhi T; Helen R
J Neurosci Methods; 2022 Jan; 366():109425. PubMed ID: 34838951
[TBL] [Abstract][Full Text] [Related]
18. Learning Optimal Time-Frequency-Spatial Features by the CiSSA-CSP Method for Motor Imagery EEG Classification.
Hu H; Pu Z; Li H; Liu Z; Wang P
Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366225
[TBL] [Abstract][Full Text] [Related]
19. Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI.
Jin J; Fang H; Daly I; Xiao R; Miao Y; Wang X; Cichocki A
Int J Neural Syst; 2021 Jul; 31(7):2150030. PubMed ID: 34176450
[TBL] [Abstract][Full Text] [Related]
20. Hybrid mental tasks based human computer interface via integration of pronunciation and motor imagery.
Tong J; Wei X; Dong E; Sun Z; Du S; Duan F
J Neural Eng; 2022 Nov; 19(5):. PubMed ID: 36228578
[No Abstract] [Full Text] [Related]
[Next] [New Search]
