178 related articles for article (PubMed ID: 26710441)
1. [Electroencephalogram Feature Selection Based on Correlation Coefficient Analysis].
Zhou J; Tang X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Aug; 32(4):735-9. PubMed ID: 26710441
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. An overview of methods of left and right foot motor imagery based on Tikhonov regularisation common spatial pattern.
Zhang J; Wang X; Xu B; Wu Y; Lou X; Shen X
Med Biol Eng Comput; 2023 May; 61(5):1047-1056. PubMed ID: 36650410
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.
Kirar JS; Agrawal RK
J Med Syst; 2018 Mar; 42(5):78. PubMed ID: 29546648
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
Zarei R; He J; Siuly S; Zhang Y
Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers.
Dos Santos EM; San-Martin R; Fraga FJ
Med Biol Eng Comput; 2023 Mar; 61(3):835-845. PubMed ID: 36626112
[TBL] [Abstract][Full Text] [Related]
11. Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.
Hsu WY
Int J Neural Syst; 2013 Dec; 23(6):1350026. PubMed ID: 24156669
[TBL] [Abstract][Full Text] [Related]
12. Motor imagery classification using geodesic filtering common spatial pattern and filter-bank feature weighted support vector machine.
Wang F; Xu Z; Zhang W; Wu S; Zhang Y; Ping J; Wu C
Rev Sci Instrum; 2020 Mar; 91(3):034106. PubMed ID: 32259927
[TBL] [Abstract][Full Text] [Related]
13. Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
Dong E; Li C; Li L; Du S; Belkacem AN; Chen C
Med Biol Eng Comput; 2017 Oct; 55(10):1809-1818. PubMed ID: 28238175
[TBL] [Abstract][Full Text] [Related]
14. [Motor Imagery Electroencephalogram Feature Selection Algorithm Based on Mutual Information and Principal Component Analysis].
Xu J; Zuo G
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Apr; 33(2):201-7. PubMed ID: 29708316
[TBL] [Abstract][Full Text] [Related]
15. A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery.
Zhang C; Eskandarian A
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():514-518. PubMed ID: 33018040
[TBL] [Abstract][Full Text] [Related]
16. [Recognition method of single trial motor imagery electroencephalogram signal based on sparse common spatial pattern and Fisher discriminant analysis].
Fu R; Tian Y; Bao T
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Dec; 36(6):911-915. PubMed ID: 31875363
[TBL] [Abstract][Full Text] [Related]
17. Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.
Antony MJ; Sankaralingam BP; Mahendran RK; Gardezi AA; Shafiq M; Choi JG; Hamam H
Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236694
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification.
Park SH; Lee D; Lee SG
IEEE Trans Neural Syst Rehabil Eng; 2018 Feb; 26(2):498-505. PubMed ID: 28961119
[TBL] [Abstract][Full Text] [Related]
20. Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
Zhang Y; Wang Y; Jin J; Wang X
Int J Neural Syst; 2017 Mar; 27(2):1650032. PubMed ID: 27377661
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]