These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1135 related articles for article (PubMed ID: 30802693)

  • 1. 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]  

  • 2. Motor imagery EEG classification based on ensemble support vector learning.
    Luo J; Gao X; Zhu X; Wang B; Lu N; Wang J
    Comput Methods Programs Biomed; 2020 Sep; 193():105464. PubMed ID: 32283387
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. An EEG channel selection method for motor imagery based brain-computer interface and neurofeedback using Granger causality.
    Varsehi H; Firoozabadi SMP
    Neural Netw; 2021 Jan; 133():193-206. PubMed ID: 33220643
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improving classification accuracy of motor imagery EEG using genetic feature selection.
    Hsu WY
    Clin EEG Neurosci; 2014 Jul; 45(3):163-8. PubMed ID: 24048242
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface.
    Siuly ; Li Y; Paul Wen P
    Comput Methods Programs Biomed; 2014 Mar; 113(3):767-80. PubMed ID: 24440135
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiband tangent space mapping and feature selection for classification of EEG during motor imagery.
    Islam MR; Tanaka T; Molla MKI
    J Neural Eng; 2018 Aug; 15(4):046021. PubMed ID: 29737970
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 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. 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]  

  • 16. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
    Chaudhary S; Taran S; Bajaj V; Siuly S
    Comput Methods Programs Biomed; 2020 Apr; 187():105325. PubMed ID: 31964514
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. A fresh look at functional link neural network for motor imagery-based brain-computer interface.
    Hettiarachchi IT; Babaei T; Nguyen T; Lim CP; Nahavandi S
    J Neurosci Methods; 2018 Jul; 305():28-35. PubMed ID: 29733940
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.
    Hsu WY
    Int J Neural Syst; 2015 Dec; 25(8):1550037. PubMed ID: 26584583
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 57.