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 *

175 related articles for article (PubMed ID: 34795879)

  • 1. The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface.
    Subasi A; Mian Qaisar S
    J Healthc Eng; 2021; 2021():1970769. PubMed ID: 34795879
    [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. Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index.
    Sadiq MT; Yu X; Yuan Z; Aziz MZ
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32947766
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain-computer interfaces.
    Zuo C; Jin J; Xu R; Wu L; Liu C; Miao Y; Wang X
    J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33524961
    [No Abstract]   [Full Text] [Related]  

  • 6. A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.
    Guan S; Cong L; Wang F; Dong T
    J Neurosci Methods; 2024 Jul; 407():110136. PubMed ID: 38642806
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Progress of classification algorithms for motor imagery electroencephalogram signals].
    Liu T; Ye Y; Wang K; Xu L; Yi W; Xu M; Ming D
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Oct; 38(5):995-1002. PubMed ID: 34713668
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. An Integrated Machine Learning-Based Brain Computer Interface to Classify Diverse Limb Motor Tasks: Explainable Model.
    Hashem HA; Abdulazeem Y; Labib LM; Elhosseini MA; Shehata M
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991884
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network.
    Echtioui A; Zouch W; Ghorbel M; Mhiri C; Hamam H
    Clin EEG Neurosci; 2024 Jul; 55(4):455-464. PubMed ID: 36604821
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Task Classifcation of Right-hand and Foot Motion Imagery Based on Wavelet Packet Transform].
    Cai M; Hu P
    Zhongguo Yi Liao Qi Xie Za Zhi; 2017 May; 41(3):177-180. PubMed ID: 29862762
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs.
    Degirmenci M; Yuce YK; Perc M; Isler Y
    Front Hum Neurosci; 2023; 17():1223307. PubMed ID: 37497042
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals.
    Pan L; Wang K; Xu L; Sun X; Yi W; Xu M; Ming D
    J Neural Eng; 2023 Nov; 20(6):. PubMed ID: 37931299
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Classification of electroencephalogram signals using wavelet-CSP and projection extreme learning machine.
    Dai Y; Zhang X; Chen Z; Xu X
    Rev Sci Instrum; 2018 Jul; 89(7):074302. PubMed ID: 30068128
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Electroencephalogram-Based Motor Imagery Classification Using Deep Residual Convolutional Networks.
    Huang JS; Liu WS; Yao B; Wang ZX; Chen SF; Sun WF
    Front Neurosci; 2021; 15():774857. PubMed ID: 34867174
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.