BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

231 related articles for article (PubMed ID: 37018607)

  • 1. Real-Time Hand Gesture Recognition by Decoding Motor Unit Discharges Across Multiple Motor Tasks From Surface Electromyography.
    Chen C; Yu Y; Sheng X; Meng J; Zhu X
    IEEE Trans Biomed Eng; 2023 Jul; 70(7):2058-2068. PubMed ID: 37018607
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Segment-Wise Decomposition of Surface Electromyography to Identify Discharges Across Motor Neuron Populations.
    Chen C; Ma S; Yu Y; Sheng X; Zhu X
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2012-2021. PubMed ID: 35853067
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time.
    Chen C; Yu Y; Sheng X; Farina D; Zhu X
    J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33764315
    [No Abstract]   [Full Text] [Related]  

  • 4. Analysis of motor unit activities during multiple motor tasks by real-time EMG decomposition: perspective for myoelectric control.
    Chen C; Yu Y; Sheng X; Zhu X
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():4791-4794. PubMed ID: 33019062
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Real-time motor unit identification from high-density surface EMG.
    Glaser V; Holobar A; Zazula D
    IEEE Trans Neural Syst Rehabil Eng; 2013 Nov; 21(6):949-58. PubMed ID: 23475379
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals.
    Chen C; Ma S; Sheng X; Farina D; Zhu X
    IEEE Trans Biomed Eng; 2020 Dec; 67(12):3501-3509. PubMed ID: 32324538
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dual Stream Long Short-Term Memory Feature Fusion Classifier for Surface Electromyography Gesture Recognition.
    Zhang K; Badesa FJ; Liu Y; Ferre Pérez M
    Sensors (Basel); 2024 Jun; 24(11):. PubMed ID: 38894423
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network.
    Zhang Z; Yang K; Qian J; Zhang L
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31323888
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A fast gradient convolution kernel compensation method for surface electromyogram decomposition.
    Lin C; Cui Z; Chen C; Liu Y; Chen C; Jiang N
    J Electromyogr Kinesiol; 2024 Jun; 76():102869. PubMed ID: 38479095
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Muscle-Specific High-Density Electromyography Arrays for Hand Gesture Classification.
    Lara JE; Cheng LK; Rohrle O; Paskaranandavadivel N
    IEEE Trans Biomed Eng; 2022 May; 69(5):1758-1766. PubMed ID: 34847014
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Dexterous Finger Forces With Forearm Rotation Using Motoneuron Discharges.
    Zheng B; Li Y; Xu G; Wang G; Zheng Y
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1994-2004. PubMed ID: 38758613
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks.
    Vásconez JP; Barona López LI; Valdivieso Caraguay ÁL; Benalcázar ME
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559983
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel EMG-Based Hand Gesture Recognition Framework Based on Multivariate Variational Mode Decomposition.
    Yang K; Xu M; Yang X; Yang R; Chen Y
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770309
    [TBL] [Abstract][Full Text] [Related]  

  • 15. EMG-based facial gesture recognition through versatile elliptic basis function neural network.
    Hamedi M; Salleh ShH; Astaraki M; Noor AM
    Biomed Eng Online; 2013 Jul; 12():73. PubMed ID: 23866903
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control.
    Chen C; Yu Y; Sheng X; Meng J; Zhu X
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():1807-1815. PubMed ID: 37030732
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Simultaneous sEMG Classification of Hand/Wrist Gestures and Forces.
    Leone F; Gentile C; Ciancio AL; Gruppioni E; Davalli A; Sacchetti R; Guglielmelli E; Zollo L
    Front Neurorobot; 2019; 13():42. PubMed ID: 31275131
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds.
    Gowda HT; Miller LM
    J Neural Eng; 2024 Jun; 21(3):. PubMed ID: 38806038
    [No Abstract]   [Full Text] [Related]  

  • 19. User-Independent Hand Gesture Recognition Classification Models Using Sensor Fusion.
    Colli Alfaro JG; Trejos AL
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214223
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hand Gesture Recognition Based on High-Density Myoelectricity in Forearm Flexors in Humans.
    Chen X; Yang H; Zhang D; Hu X; Xie P
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931754
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.