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 *

1010 related articles for article (PubMed ID: 30338495)

  • 1. 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]  

  • 2. 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]  

  • 3. Discriminative spatial-frequency-temporal feature extraction and classification of motor imagery EEG: An sparse regression and Weighted Naïve Bayesian Classifier-based approach.
    Miao M; Zeng H; Wang A; Zhao C; Liu F
    J Neurosci Methods; 2017 Feb; 278():13-24. PubMed ID: 28012854
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification.
    Luo J; Wang J; Xu R; Xu K
    J Neurosci Methods; 2019 Jul; 323():98-107. PubMed ID: 31141703
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces.
    Rodrigues PG; Filho CAS; Attux R; Castellano G; Soriano DC
    Med Biol Eng Comput; 2019 Aug; 57(8):1709-1725. PubMed ID: 31127535
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Diversity in a signal-to-image transformation approach for EEG-based motor imagery task classification.
    Yilmaz BH; Yilmaz CM; Kose C
    Med Biol Eng Comput; 2020 Feb; 58(2):443-459. PubMed ID: 31863249
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery.
    Aydemir O; Kayikcioglu T
    J Neurosci Methods; 2014 May; 229():68-75. PubMed ID: 24751647
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. The predictive role of pre-cue EEG rhythms on MI-based BCI classification performance.
    Bamdadian A; Guan C; Ang KK; Xu J
    J Neurosci Methods; 2014 Sep; 235():138-44. PubMed ID: 24979726
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A shallow mirror transformer for subject-independent motor imagery BCI.
    Luo J; Wang Y; Xia S; Lu N; Ren X; Shi Z; Hei X
    Comput Biol Med; 2023 Sep; 164():107254. PubMed ID: 37499295
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 51.