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 *

139 related articles for article (PubMed ID: 31947002)

  • 1. A Novel Time-Domain based Feature for EMG-PR Prosthetic and Rehabilitation Application.
    Pancholi S; Jain P; Varghese A; Joshi AM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5084-5087. PubMed ID: 31947002
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Advanced Energy Kernel-Based Feature Extraction Scheme for Improved EMG-PR-Based Prosthesis Control Against Force Variation.
    Pancholi S; Joshi AM
    IEEE Trans Cybern; 2022 May; 52(5):3819-3828. PubMed ID: 32946409
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR System.
    Samuel OW; Asogbon MG; Geng Y; Chen S; Feng P; Chuang L; Wang L; Li G
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():3513-3516. PubMed ID: 30441136
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A mechatronics platform to study prosthetic hand control using EMG signals.
    Geethanjali P
    Australas Phys Eng Sci Med; 2016 Sep; 39(3):765-71. PubMed ID: 27278475
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control.
    Chen X; Zhang D; Zhu X
    J Neuroeng Rehabil; 2013 May; 10(1):44. PubMed ID: 23634939
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Towards better understanding and reducing the effect of limb position on myoelectric upper-limb prostheses.
    Masters MR; Smith RJ; Soares AB; Thakor NV
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2577-80. PubMed ID: 25570517
    [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. Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals.
    Purushothaman G; Vikas R
    Australas Phys Eng Sci Med; 2018 Jun; 41(2):549-559. PubMed ID: 29744809
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses.
    Samuel OW; Li X; Geng Y; Asogbon MG; Fang P; Huang Z; Li G
    Comput Biol Med; 2017 Nov; 90():76-87. PubMed ID: 28961473
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction.
    Asghar A; Jawaid Khan S; Azim F; Shakeel CS; Hussain A; Niazi IK
    Proc Inst Mech Eng H; 2022 May; 236(5):628-645. PubMed ID: 35118907
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Adaptive Windowing Framework for Surface Electromyogram-Based Pattern Recognition System for Transradial Amputees.
    Al-Timemy AH; Bugmann G; Escudero J
    Sensors (Basel); 2018 Jul; 18(8):. PubMed ID: 30042296
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System.
    Samuel OW; Grace Asogbon M; Geng Y; Li X; Pirbhulal S; Chen S; Ganesh N; Feng P; Li G
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2637-2640. PubMed ID: 31946437
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of feature extraction techniques and classifiers for finger movement recognition using surface electromyography signal.
    Phukpattaranont P; Thongpanja S; Anam K; Al-Jumaily A; Limsakul C
    Med Biol Eng Comput; 2018 Dec; 56(12):2259-2271. PubMed ID: 29911250
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic misclassification rejection for LDA classifier using ROC curves.
    Menon R; Di Caterina G; Lakany H; Petropoulakis L; Conway BA; Soraghan JJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():482-5. PubMed ID: 26736304
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pattern recognition of EMG signals for low level grip force classification.
    Khan SM; Khan AA; Farooq O
    Biomed Phys Eng Express; 2021 Sep; 7(6):. PubMed ID: 34474400
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatio-Temporal Inertial Measurements Feature Extraction Improves Hand Movement Pattern Recognition without Electromyography.
    Khushaba RN; Krasoulis A; Al-Jumaily A; Nazarpour K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2108-2111. PubMed ID: 30440819
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines.
    Cene VH; Tosin M; Machado J; Balbinot A
    Sensors (Basel); 2019 Apr; 19(8):. PubMed ID: 31003524
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recurrent Fusion of Time-Domain Descriptors Improves EMG-based Hand Movement Recognition.
    Al Taee AA; Khushaba RN; Al-Timemy AH; Al-Jumaily A
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():657-661. PubMed ID: 33018073
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Exploration of the Optimal Feature-Classifier Combinations for Transradial Prosthesis Control.
    Douglas F; Gover H; Docherty C; Shields G; Leventi K; Caterina GD
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3187-3190. PubMed ID: 36086134
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.