BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

292 related articles for article (PubMed ID: 35003244)

  • 1. Towards Integration of Domain Knowledge-Guided Feature Engineering and Deep Feature Learning in Surface Electromyography-Based Hand Movement Recognition.
    Wei W; Hu X; Liu H; Zhou M; Song Y
    Comput Intell Neurosci; 2021; 2021():4454648. PubMed ID: 35003244
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.
    Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Yanushkevich S; Mohammadi A
    Sci Rep; 2023 Jul; 13(1):11000. PubMed ID: 37419881
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Hierarchical View Pooling Network for Multichannel Surface Electromyography-Based Gesture Recognition.
    Wei W; Hong H; Wu X
    Comput Intell Neurosci; 2021; 2021():6591035. PubMed ID: 34484323
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Feature Extraction of Surface Electromyography Using Wavelet Weighted Permutation Entropy for Hand Movement Recognition.
    Liu X; Xi X; Hua X; Wang H; Zhang W
    J Healthc Eng; 2020; 2020():8824194. PubMed ID: 33299536
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.
    Peng X; Zhou X; Zhu H; Ke Z; Pan C
    PLoS One; 2022; 17(11):e0276436. PubMed ID: 36342906
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Transferable non-invasive modal fusion-transformer (NIMFT) for end-to-end hand gesture recognition.
    Xu T; Zhao K; Hu Y; Li L; Wang W; Wang F; Zhou Y; Li J
    J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38565124
    [No Abstract]   [Full Text] [Related]  

  • 7. Upper Limb Movement Classification Via Electromyographic Signals and an Enhanced Probabilistic Network.
    Burns A; Adeli H; Buford JA
    J Med Syst; 2020 Aug; 44(10):176. PubMed ID: 32829419
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements.
    Zhong T; Li D; Wang J; Xu J; An Z; Zhu Y
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450825
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-feature gait recognition with DNN based on sEMG signals.
    Yao T; Gao F; Zhang Q; Ma Y
    Math Biosci Eng; 2021 Apr; 18(4):3521-3542. PubMed ID: 34198399
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition.
    Xu P; Li F; Wang H
    PLoS One; 2022; 17(1):e0262810. PubMed ID: 35051235
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models.
    Gopal P; Gesta A; Mohebbi A
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632058
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Stream Convolutional Neural Network-Based Wearable, Flexible Bionic Gesture Surface Muscle Feature Extraction and Recognition.
    Liu W; Lu B
    Front Bioeng Biotechnol; 2022; 10():833793. PubMed ID: 35310001
    [TBL] [Abstract][Full Text] [Related]  

  • 13. sEMG-Based Hand Gesture Recognition Using Binarized Neural Network.
    Kang S; Kim H; Park C; Sim Y; Lee S; Jung Y
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772476
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biosignal-based transferable attention Bi-ConvGRU deep network for hand-gesture recognition towards online upper-limb prosthesis control.
    Xie B; Meng J; Li B; Harland A
    Comput Methods Programs Biomed; 2022 Sep; 224():106999. PubMed ID: 35841852
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine.
    Shi J; Cai Y; Zhu J; Zhong J; Wang F
    Med Biol Eng Comput; 2013 Apr; 51(4):417-27. PubMed ID: 23224795
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms.
    Jiang Y; Chen C; Zhang X; Chen C; Zhou Y; Ni G; Muh S; Lemos S
    Comput Methods Programs Biomed; 2020 Dec; 197():105721. PubMed ID: 32882593
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG.
    Asif AR; Waris A; Gilani SO; Jamil M; Ashraf H; Shafique M; Niazi IK
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32183473
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal.
    Baygin M; Barua PD; Dogan S; Tuncer T; Key S; Acharya UR; Cheong KH
    Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271154
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A sparse Bayesian learning based scheme for multi-movement recognition using sEMG.
    Ding S; Wang L
    Australas Phys Eng Sci Med; 2016 Mar; 39(1):59-69. PubMed ID: 26577712
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TraHGR: Transformer for Hand Gesture Recognition via Electromyography.
    Zabihi S; Rahimian E; Asif A; Mohammadi A
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4211-4224. PubMed ID: 37831560
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.