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 *

161 related articles for article (PubMed ID: 35853067)

  • 1. 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]  

  • 2. 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]  

  • 3. Integration of Motor Unit Filters for Enhanced Surface Electromyogram Decomposition During Varying Force Isometric Contraction.
    Xia M; Chen C; Sheng X; Ding H
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():2905-2913. PubMed ID: 39115987
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition.
    Chen M; Holobar A; Zhang X; Zhou P
    Neural Plast; 2016; 2016():3489540. PubMed ID: 27642525
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A simulation study on the relation between the motor unit depth and action potential from multi-channel surface electromyography recordings.
    He J; Luo Z
    J Clin Neurosci; 2018 Aug; 54():146-151. PubMed ID: 29805080
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A convolutional neural network to identify motor units from high-density surface electromyography signals in real time.
    Wen Y; Avrillon S; Hernandez-Pavon JC; Kim SJ; Hug F; Pons JL
    J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33721852
    [No Abstract]   [Full Text] [Related]  

  • 11. Estimating motor unit discharge patterns from high-density surface electromyogram.
    Holobar A; Farina D; Gazzoni M; Merletti R; Zazula D
    Clin Neurophysiol; 2009 Mar; 120(3):551-62. PubMed ID: 19208498
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle.
    Marateb HR; McGill KC; Holobar A; Lateva ZC; Mansourian M; Merletti R
    J Neural Eng; 2011 Dec; 8(6):066002. PubMed ID: 21975280
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved online decomposition of non-stationary electromyogram via signal enhancement using a neuron resonance model: a simulation study.
    Zheng Y; Xu G; Li Y; Qiang W
    J Neural Eng; 2022 Apr; 19(2):. PubMed ID: 35303735
    [No Abstract]   [Full Text] [Related]  

  • 14. Non-Invasive Analysis of Motor Unit Activation During Simultaneous and Continuous Wrist Movements.
    Chen C; Yu Y; Sheng X; Zhu X
    IEEE J Biomed Health Inform; 2022 May; 26(5):2106-2115. PubMed ID: 34910644
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the impact of spike segmentation on motor unit identification in dynamic surface electromyograms.
    Glaser V; Holobar A
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():430-433. PubMed ID: 29059902
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of Action Potentials With High Variability Using Convolutional Neural Network for Motor Unit Tracking.
    Li Y; Zheng Y; Xu G; Zhang S; Liang R; Ji R
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():905-914. PubMed ID: 38335077
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatial decomposition of ultrafast ultrasound images to identify motor unit activity - A comparative study with intramuscular and surface EMG.
    Rohlén R; Lubel E; Grandi Sgambato B; Antfolk C; Farina D
    J Electromyogr Kinesiol; 2023 Dec; 73():102825. PubMed ID: 37757604
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Highly Accurate Real-Time Decomposition of Single Channel Intramuscular EMG.
    Yu T; Akhmadeev K; Carpentier EL; Aoustin Y; Farina D
    IEEE Trans Biomed Eng; 2022 Feb; 69(2):746-757. PubMed ID: 34388089
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A Novel and Efficient Surface Electromyography Decomposition Algorithm Using Local Spatial Information.
    Xu Y; Yu Y; Xia M; Sheng X; Zhu X
    IEEE J Biomed Health Inform; 2023 Jan; 27(1):286-295. PubMed ID: 36166568
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.