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 *

107 related articles for article (PubMed ID: 36269909)

  • 1. A BERT Based Method for Continuous Estimation of Cross-Subject Hand Kinematics From Surface Electromyographic Signals.
    Lin C; Chen X; Guo W; Jiang N; Farina D; Su J
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():87-96. PubMed ID: 36269909
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals.
    Guo W; Ma C; Wang Z; Zhang H; Farina D; Jiang N; Lin C
    J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33326941
    [No Abstract]   [Full Text] [Related]  

  • 3. A Novel TCN-LSTM Hybrid Model for sEMG-Based Continuous Estimation of Wrist Joint Angles.
    Du J; Liu Z; Dong W; Zhang W; Miao Z
    Sensors (Basel); 2024 Aug; 24(17):. PubMed ID: 39275542
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A rotary transformer cross-subject model for continuous estimation of finger joints kinematics and a transfer learning approach for new subjects.
    Lin C; He Z
    Front Neurosci; 2024; 18():1306050. PubMed ID: 38572147
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fusion inception and transformer network for continuous estimation of finger kinematics from surface electromyography.
    Lin C; Zhang X
    Front Neurorobot; 2024; 18():1305605. PubMed ID: 38765870
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Attention-based Bidirectional LSTM Model for Continuous Cross-Subject Estimation of Knee Joint Angle during Running from sEMG Signals.
    Zangene AR; Williams Samuel O; Abbasi A; Nazarpour K; McEwan AA; Li G
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083427
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimation of Lower Limb Kinematics during Squat Task in Different Loading Using sEMG Activity and Deep Recurrent Neural Networks.
    Zangene AR; Abbasi A; Nazarpour K
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883777
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cross-Subject Lifelong Learning for Continuous Estimation From Surface Electromyographic Signal.
    Chen X; Guo W; Lin C; Jiang N; Su J
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1965-1973. PubMed ID: 38739518
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Continuous online prediction of lower limb joints angles based on sEMG signals by deep learning approach.
    Song Q; Ma X; Liu Y
    Comput Biol Med; 2023 Sep; 163():107124. PubMed ID: 37315381
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An ensemble-based regression approach for continuous estimation of wrist and fingers movements from surface electromyography.
    Alazrai R; Khalifeh A; Alnuman N; Alabed D; Mowafi Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():319-322. PubMed ID: 28268341
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature.
    Ma X; Liu Y; Song Q; Wang C
    Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32887326
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements.
    Pan L; Crouch DL; Huang H
    IEEE Trans Neural Syst Rehabil Eng; 2019 Oct; 27(10):2145-2154. PubMed ID: 31478862
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Transfer Learning based Cross-subject Generic Model for Continuous Estimation of Finger Joint Angles from a New User.
    Long Y; Geng Y; Dai C; Li G
    IEEE J Biomed Health Inform; 2023 Jan; PP():. PubMed ID: 37018609
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Transfer learning in hand movement intention detection based on surface electromyography signals.
    Soroushmojdehi R; Javadzadeh S; Pedrocchi A; Gandolla M
    Front Neurosci; 2022; 16():977328. PubMed ID: 36440276
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Continuous Estimation of Human Knee Joint Angles by Fusing Kinematic and Myoelectric Signals.
    Sun N; Cao M; Chen Y; Chen Y; Wang J; Wang Q; Chen X; Liu T
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2446-2455. PubMed ID: 35994557
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SE-TCN network for continuous estimation of upper limb joint angles.
    Liu X; Wang J; Liang T; Lou C; Wang H; Liu X
    Math Biosci Eng; 2023 Jan; 20(2):3237-3260. PubMed ID: 36899579
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control.
    Dantas H; Warren DJ; Wendelken SM; Davis TS; Clark GA; Mathews VJ
    IEEE Trans Biomed Eng; 2019 Nov; 66(11):3192-3203. PubMed ID: 30835207
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network.
    Wang S; Tang H; Gao L; Tan Q
    IEEE J Biomed Health Inform; 2022 Nov; 26(11):5461-5472. PubMed ID: 35969552
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks.
    Lin Y; Palaniappan R; De Wilde P; Li L
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():96-107. PubMed ID: 34995190
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of externally applied forces to human hands using frequency content of surface EMG signals.
    Arslan YZ; Adli MA; Akan A; Baslo MB
    Comput Methods Programs Biomed; 2010 Apr; 98(1):36-44. PubMed ID: 19762107
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.