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 *

436 related articles for article (PubMed ID: 34508756)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 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. EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation.
    Al-Qazzaz NK; Alyasseri ZAA; Abdulkareem KH; Ali NS; Al-Mhiqani MN; Guger C
    Comput Biol Med; 2021 Oct; 137():104799. PubMed ID: 34478922
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model : EEG signal processing.
    Shang Y; Gao X; An A
    Med Biol Eng Comput; 2023 Jun; 61(6):1581-1602. PubMed ID: 36813927
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 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. Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain-Computer Interface System.
    Kabir MH; Akhtar NI; Tasnim N; Miah ASM; Lee HS; Jang SW; Shin J
    Sensors (Basel); 2024 Aug; 24(15):. PubMed ID: 39124036
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning.
    Xu J; Zheng H; Wang J; Li D; Fang X
    Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32575798
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 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. 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]  

  • 20. [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]  

    [Next]    [New Search]
    of 22.