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 *

130 related articles for article (PubMed ID: 31866120)

  • 1. Ultrasonography and electromyography based hand motion intention recognition for a trans-radial amputee: A case study.
    Wang Z; Fang Y; Zhou D; Li K; Cointet C; Liu H
    Med Eng Phys; 2020 Jan; 75():45-48. PubMed ID: 31866120
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.
    Li X; Samuel OW; Zhang X; Wang H; Fang P; Li G
    J Neuroeng Rehabil; 2017 Jan; 14(1):2. PubMed ID: 28061779
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements.
    Krasoulis A; Kyranou I; Erden MS; Nazarpour K; Vijayakumar S
    J Neuroeng Rehabil; 2017 Jul; 14(1):71. PubMed ID: 28697795
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Transradial Amputee Gesture Classification Using an Optimal Number of sEMG Sensors: An Approach Using ICA Clustering.
    Naik GR; Al-Timemy AH; Nguyen HT
    IEEE Trans Neural Syst Rehabil Eng; 2016 Aug; 24(8):837-46. PubMed ID: 26394431
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A machine learning approach to identify hand actions from single-channel sEMG signals.
    Savithri CN; Priya E; Rajasekar K
    Biomed Tech (Berl); 2022 Apr; 67(2):89-103. PubMed ID: 35191277
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Simple and Fast Compensation of sEMG Interface Rotation for Robust Hand Motion Recognition.
    Kim M; Kim K; Chung WK
    IEEE Trans Neural Syst Rehabil Eng; 2018 Dec; 26(12):2397-2406. PubMed ID: 30371382
    [TBL] [Abstract][Full Text] [Related]  

  • 7. NLR, MLP, SVM, and LDA: a comparative analysis on EMG data from people with trans-radial amputation.
    Dellacasa Bellingegni A; Gruppioni E; Colazzo G; Davalli A; Sacchetti R; Guglielmelli E; Zollo L
    J Neuroeng Rehabil; 2017 Aug; 14(1):82. PubMed ID: 28807038
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements.
    Rehman MZU; Gillani SO; Waris A; Jochumsen M; Niazi IK; Kamavuako EN
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5220-5223. PubMed ID: 30441515
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Simultaneous sEMG Recognition of Gestures and Force Levels for Interaction With Prosthetic Hand.
    Fang B; Wang C; Sun F; Chen Z; Shan J; Liu H; Ding W; Liang W
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2426-2436. PubMed ID: 35981072
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Recognition of hand movements in a trans-radial amputated subject by sEMG.
    Atzori M; Muller H; Baechler M
    IEEE Int Conf Rehabil Robot; 2013 Jun; 2013():6650486. PubMed ID: 24187303
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Study on Interaction Between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses.
    Menon R; Di Caterina G; Lakany H; Petropoulakis L; Conway BA; Soraghan JJ
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1832-1842. PubMed ID: 28436879
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of finger movements for the dexterous hand prosthesis control with surface electromyography.
    Al-Timemy AH; Bugmann G; Escudero J; Outram N
    IEEE J Biomed Health Inform; 2013 May; 17(3):608-18. PubMed ID: 24592463
    [TBL] [Abstract][Full Text] [Related]  

  • 13. High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control.
    Daley H; Englehart K; Hargrove L; Kuruganti U
    J Electromyogr Kinesiol; 2012 Jun; 22(3):478-84. PubMed ID: 22269773
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Classification of hand movements in amputated subjects by sEMG and accelerometers.
    Atzori M; Gijsberts A; Müller H; Caputo B
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3545-9. PubMed ID: 25570756
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study.
    Crouch DL; Pan L; Filer W; Stallings JW; Huang H
    IEEE Trans Neural Syst Rehabil Eng; 2018 Sep; 26(9):1735-1744. PubMed ID: 30047893
    [TBL] [Abstract][Full Text] [Related]  

  • 16. sEMG-Based Hand Posture Recognition and Visual Feedback Training for the Forearm Amputee.
    Kim J; Yang S; Koo B; Lee S; Park S; Kim S; Cho KH; Kim Y
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298335
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Real-time modeling and feature extraction method of surface electromyography signal for hand movement classification based on oscillatory theory.
    Xiao F; Mu J; Lu J; Dong G; Wang Y
    J Neural Eng; 2022 Mar; 19(2):. PubMed ID: 35172291
    [No Abstract]   [Full Text] [Related]  

  • 18. Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future.
    Li W; Shi P; Yu H
    Front Neurosci; 2021; 15():621885. PubMed ID: 33981195
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The effect of time on EMG classification of hand motions in able-bodied and transradial amputees.
    Waris A; Niazi IK; Jamil M; Gilani O; Englehart K; Jensen W; Shafique M; Kamavuako EN
    J Electromyogr Kinesiol; 2018 Jun; 40():72-80. PubMed ID: 29689443
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation.
    Parajuli N; Sreenivasan N; Bifulco P; Cesarelli M; Savino S; Niola V; Esposito D; Hamilton TJ; Naik GR; Gunawardana U; Gargiulo GD
    Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31652616
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.