BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

366 related articles for article (PubMed ID: 35008079)

  • 1. EEG characteristic investigation of the sixth-finger motor imagery and optimal channel selection for classification.
    Liu Y; Wang Z; Huang S; Wang W; Ming D
    J Neural Eng; 2022 Jan; 19(1):. PubMed ID: 35008079
    [No Abstract]   [Full Text] [Related]  

  • 2. A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study.
    Wang K; Wang Z; Guo Y; He F; Qi H; Xu M; Ming D
    J Neuroeng Rehabil; 2017 Sep; 14(1):93. PubMed ID: 28893295
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Motor imagery recognition with automatic EEG channel selection and deep learning.
    Zhang H; Zhao X; Wu Z; Sun B; Li T
    J Neural Eng; 2021 Feb; 18(1):. PubMed ID: 33181505
    [No Abstract]   [Full Text] [Related]  

  • 4. EEG oscillatory patterns and classification of sequential compound limb motor imagery.
    Yi W; Qiu S; Wang K; Qi H; He F; Zhou P; Zhang L; Ming D
    J Neuroeng Rehabil; 2016 Jan; 13():11. PubMed ID: 26822435
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EEG feature comparison and classification of simple and compound limb motor imagery.
    Yi W; Qiu S; Qi H; Zhang L; Wan B; Ming D
    J Neuroeng Rehabil; 2013 Oct; 10():106. PubMed ID: 24119261
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Optimal Channel Selection of Multiclass Motor Imagery Classification Based on Fusion Convolutional Neural Network with Attention Blocks.
    Khabti J; AlAhmadi S; Soudani A
    Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38794022
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of EEG measurement of upper limb movement in motor imagery training system.
    Suwannarat A; Pan-Ngum S; Israsena P
    Biomed Eng Online; 2018 Aug; 17(1):103. PubMed ID: 30071853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel channel selection method for optimal classification in different motor imagery BCI paradigms.
    Shan H; Xu H; Zhu S; He B
    Biomed Eng Online; 2015 Oct; 14():93. PubMed ID: 26489759
    [TBL] [Abstract][Full Text] [Related]  

  • 11. EEG-based classification of imaginary left and right foot movements using beta rebound.
    Hashimoto Y; Ushiba J
    Clin Neurophysiol; 2013 Nov; 124(11):2153-60. PubMed ID: 23757379
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Relevance-based channel selection in motor imagery brain-computer interface.
    Nagarajan A; Robinson N; Guan C
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36548997
    [No Abstract]   [Full Text] [Related]  

  • 13. Multilayer network-based channel selection for motor imagery brain-computer interface.
    Yan S; Hu Y; Zhang R; Qi D; Hu Y; Yao D; Shi L; Zhang L
    J Neural Eng; 2024 Feb; 21(1):. PubMed ID: 38295419
    [No Abstract]   [Full Text] [Related]  

  • 14. Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces.
    Arpaia P; Donnarumma F; Esposito A; Parvis M
    Int J Neural Syst; 2021 Mar; 31(3):2150003. PubMed ID: 33353529
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Individual-finger motor imagery classification: a data-driven approach with Shapley-informed augmentation.
    Alsuradi H; Khattak A; Fakhry A; Eid M
    J Neural Eng; 2024 Mar; 21(2):. PubMed ID: 38479013
    [No Abstract]   [Full Text] [Related]  

  • 16. Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface.
    Moaveninejad S; D'Onofrio V; Tecchio F; Ferracuti F; Iarlori S; MonteriĆ¹ A; Porcaro C
    Comput Methods Programs Biomed; 2024 Feb; 244():107944. PubMed ID: 38064955
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Investigating User Proficiency of Motor Imagery for EEG-Based BCI System to Control Simulated Wheelchair.
    Saichoo T; Boonbrahm P; Punsawad Y
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Inter-stimulus phase coherence in steady-state somatosensory evoked potentials and its application in improving the performance of single-channel MI-BCI.
    Tao X; Yi W; Wang K; He F; Qi H
    J Neural Eng; 2021 Jun; 18(4):. PubMed ID: 34077914
    [No Abstract]   [Full Text] [Related]  

  • 19. Adaptive binary multi-objective harmony search algorithm for channel selection and cross-subject generalization in motor imagery-based BCI.
    Shi B; Yue Z; Yin S; Wang W; Yu H; Huang Z; Wang J
    J Neural Eng; 2022 Jul; 19(4):. PubMed ID: 35772393
    [No Abstract]   [Full Text] [Related]  

  • 20. Wearable Supernumerary Robotic Limb System Using a Hybrid Control Approach Based on Motor Imagery and Object Detection.
    Tang Z; Zhang L; Chen X; Ying J; Wang X; Wang H
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1298-1309. PubMed ID: 35511846
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.