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 *

309 related articles for article (PubMed ID: 25764703)

  • 1. [Feature extraction of motor imagery electroencephalography based on time-frequency-space domains].
    Wang Y; Li X; Li H; Shao C; Ying L; Wu S
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Oct; 31(5):955-61. PubMed ID: 25764703
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 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. Study of MI-BCI classification method based on the Riemannian transform of personalized EEG spatiotemporal features.
    Ding X; Yang L; Li C
    Math Biosci Eng; 2023 May; 20(7):12454-12471. PubMed ID: 37501450
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. [EEG feature extraction based on ICA and CSP algorithms].
    Li X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec; 27(6):1370-4. PubMed ID: 21374997
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. An effective feature extraction method by power spectral density of EEG signal for 2-class motor imagery-based BCI.
    Kim C; Sun J; Liu D; Wang Q; Paek S
    Med Biol Eng Comput; 2018 Sep; 56(9):1645-1658. PubMed ID: 29497931
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Improving the Accuracy and Training Speed of Motor Imagery Brain-Computer Interfaces Using Wavelet-Based Combined Feature Vectors and Gaussian Mixture Model-Supervectors.
    Lee D; Park SH; Lee SG
    Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 28991172
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification.
    Liu X; Lv L; Shen Y; Xiong P; Yang J; Liu J
    J Neural Eng; 2021 Feb; 18(2):. PubMed ID: 33395676
    [No Abstract]   [Full Text] [Related]  

  • 16. 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]  

  • 17. Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms.
    Liu R; Zhang Z; Duan F; Zhou X; Meng Z
    Comput Intell Neurosci; 2017; 2017():2727856. PubMed ID: 28874909
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feature Selection for Motor Imagery EEG Classification Based on Firefly Algorithm and Learning Automata.
    Liu A; Chen K; Liu Q; Ai Q; Xie Y; Chen A
    Sensors (Basel); 2017 Nov; 17(11):. PubMed ID: 29117100
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 16.