338 related articles for article (PubMed ID: 32714167)
1. Temporal Combination Pattern Optimization Based on Feature Selection Method for Motor Imagery BCIs.
Jiang J; Wang C; Wu J; Qin W; Xu M; Yin E
Front Hum Neurosci; 2020; 14():231. PubMed ID: 32714167
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
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. Transformed common spatial pattern for motor imagery-based brain-computer interfaces.
Ma Z; Wang K; Xu M; Yi W; Xu F; Ming D
Front Neurosci; 2023; 17():1116721. PubMed ID: 36960172
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Correlation-based channel selection and regularized feature optimization for MI-based BCI.
Jin J; Miao Y; Daly I; Zuo C; Hu D; Cichocki A
Neural Netw; 2019 Oct; 118():262-270. PubMed ID: 31326660
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Improved motor imagery classification using adaptive spatial filters based on particle swarm optimization algorithm.
Xiong X; Wang Y; Song T; Huang J; Kang G
Front Neurosci; 2023; 17():1303648. PubMed ID: 38192510
[TBL] [Abstract][Full Text] [Related]
10. Towards correlation-based time window selection method for motor imagery BCIs.
Feng J; Yin E; Jin J; Saab R; Daly I; Wang X; Hu D; Cichocki A
Neural Netw; 2018 Jun; 102():87-95. PubMed ID: 29558654
[TBL] [Abstract][Full Text] [Related]
11. The backtracking search optimization algorithm for frequency band and time segment selection in motor imagery-based brain-computer interfaces.
Wei Z; Wei Q
J Integr Neurosci; 2016 Sep; 15(3):347-364. PubMed ID: 27681162
[TBL] [Abstract][Full Text] [Related]
12. Optimizing spatial patterns with sparse filter bands for motor-imagery based brain-computer interface.
Zhang Y; Zhou G; Jin J; Wang X; Cichocki A
J Neurosci Methods; 2015 Nov; 255():85-91. PubMed ID: 26277421
[TBL] [Abstract][Full Text] [Related]
13. A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG.
Peterson V; Wyser D; Lambercy O; Spies R; Gassert R
J Neural Eng; 2019 Feb; 16(1):016019. PubMed ID: 30623892
[TBL] [Abstract][Full Text] [Related]
14. A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
Miao M; Wang A; Liu F
Med Biol Eng Comput; 2017 Sep; 55(9):1589-1603. PubMed ID: 28161876
[TBL] [Abstract][Full Text] [Related]
15. Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification.
Miao Y; Jin J; Daly I; Zuo C; Wang X; Cichocki A; Jung TP
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():699-707. PubMed ID: 33819158
[TBL] [Abstract][Full Text] [Related]
16. Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
Malan NS; Sharma S
Comput Biol Med; 2019 Apr; 107():118-126. PubMed ID: 30802693
[TBL] [Abstract][Full Text] [Related]
17. Feature optimization based on improved novel global harmony search algorithm for motor imagery electroencephalogram classification.
Shi B; Chen X; Yue Z; Zeng F; Yin S; Wang B; Wang J
Front Comput Neurosci; 2022; 16():1004301. PubMed ID: 36589278
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.
Kumar S; Sharma A; Tsunoda T
BMC Bioinformatics; 2017 Dec; 18(Suppl 16):545. PubMed ID: 29297303
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]