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 *

145 related articles for article (PubMed ID: 35191277)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine.
    Shi J; Cai Y; Zhu J; Zhong J; Wang F
    Med Biol Eng Comput; 2013 Apr; 51(4):417-27. PubMed ID: 23224795
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Towards identification of finger flexions using single channel surface electromyography--able bodied and amputee subjects.
    Kumar DK; Poosapadi Arjunan S; Singh VP
    J Neuroeng Rehabil; 2013 Jun; 10():50. PubMed ID: 23758881
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparative study of surface EMG classification by fuzzy relevance vector machine and fuzzy support vector machine.
    Xie HB; Huang H; Wu J; Liu L
    Physiol Meas; 2015 Feb; 36(2):191-206. PubMed ID: 25571959
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions.
    Ghaderi P; Nosouhi M; Jordanic M; Marateb HR; Mañanas MA; Farina D
    Front Neurosci; 2022; 16():796711. PubMed ID: 35356057
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PCA and deep learning based myoelectric grasping control of a prosthetic hand.
    Li C; Ren J; Huang H; Wang B; Zhu Y; Hu H
    Biomed Eng Online; 2018 Aug; 17(1):107. PubMed ID: 30081927
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The analysis of hand movement distinction based on relative frequency band energy method.
    Zhang Y; Wang G; Teng C; Sun Z; Wang J
    Biomed Res Int; 2014; 2014():781769. PubMed ID: 25431766
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. A cepstrum analysis-based classification method for hand movement surface EMG signals.
    Yavuz E; Eyupoglu C
    Med Biol Eng Comput; 2019 Oct; 57(10):2179-2201. PubMed ID: 31388900
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A preliminary investigation assessing the viability of classifying hand postures in seniors.
    Tavakolan M; Xiao ZG; Menon C
    Biomed Eng Online; 2011 Sep; 10():79. PubMed ID: 21906316
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Continuous grip force estimation from surface electromyography using generalized regression neural network.
    Mao H; Fang P; Zheng Y; Tian L; Li X; Wang P; Peng L; Li G
    Technol Health Care; 2023; 31(2):675-689. PubMed ID: 36120747
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.