BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 21554700)

  • 1. Influence of the training set on the accuracy of surface EMG classification in dynamic contractions for the control of multifunction prostheses.
    Lorrain T; Jiang N; Farina D
    J Neuroeng Rehabil; 2011 May; 8():25. PubMed ID: 21554700
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Surface EMG classification during dynamic contractions for multifunction transradial prostheses.
    Lorrain T; Jiang N; Farina D
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2766-9. PubMed ID: 21096217
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Feature extraction of the first difference of EMG time series for EMG pattern recognition.
    Phinyomark A; Quaine F; Charbonnier S; Serviere C; Tarpin-Bernard F; Laurillau Y
    Comput Methods Programs Biomed; 2014 Nov; 117(2):247-56. PubMed ID: 25023536
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use of the discriminant Fourier-derived cepstrum with feature-level post-processing for surface electromyographic signal classification.
    Chen X; Zhu X; Zhang D
    Physiol Meas; 2009 Dec; 30(12):1399-413. PubMed ID: 19887720
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A supervised feature projection for real-time multifunction myoelectric hand control.
    Chu JU; Moon I; Mun MS
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2417-20. PubMed ID: 17945714
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatial correlation of high density EMG signals provides features robust to electrode number and shift in pattern recognition for myocontrol.
    Stango A; Negro F; Farina D
    IEEE Trans Neural Syst Rehabil Eng; 2015 Mar; 23(2):189-98. PubMed ID: 25389242
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees.
    Geng Y; Zhou P; Li G
    J Neuroeng Rehabil; 2012 Oct; 9():74. PubMed ID: 23036049
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On the challenge of classifying 52 hand movements from surface electromyography.
    Kuzborskij I; Gijsberts A; Caputo B
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4931-7. PubMed ID: 23367034
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Surface myoelectric signal analysis: dynamic approaches for change detection and classification.
    Al-Assaf Y
    IEEE Trans Biomed Eng; 2006 Nov; 53(11):2248-56. PubMed ID: 17073330
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Simultaneous and proportional estimation of hand kinematics from EMG during mirrored movements at multiple degrees-of-freedom.
    Muceli S; Farina D
    IEEE Trans Neural Syst Rehabil Eng; 2012 May; 20(3):371-8. PubMed ID: 22180516
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spatial filtering for robust myoelectric control.
    Hahne JM; Graimann B; Müller KR
    IEEE Trans Biomed Eng; 2012 May; 59(5):1436-43. PubMed ID: 22374342
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Influence of multiple dynamic factors on the performance of myoelectric pattern recognition.
    Khushaba RN; Al-Timemy A; Kodagoda S
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1679-82. PubMed ID: 26736599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Classification Method for Myoelectric Control of Hand Prostheses Inspired by Muscle Coordination.
    Patel GK; Castellini C; Hahne JM; Farina D; Dosen S
    IEEE Trans Neural Syst Rehabil Eng; 2018 Sep; 26(9):1745-1755. PubMed ID: 30072332
    [TBL] [Abstract][Full Text] [Related]  

  • 15. EMG signal decomposition using motor unit potential train validity.
    Parsaei H; Stashuk DW
    IEEE Trans Neural Syst Rehabil Eng; 2013 Mar; 21(2):265-74. PubMed ID: 23033332
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes.
    Boschmann A; Nofen B; Platzner M
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6035-8. PubMed ID: 24111115
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Surface myoelectric signal classification for prostheses control.
    Al-Assaf Y; Al-Nashash H
    J Med Eng Technol; 2005; 29(5):203-7. PubMed ID: 16126579
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Analysis of Intrinsic and Extrinsic Hand Muscle EMG for Improved Pattern Recognition Control.
    Adewuyi AA; Hargrove LJ; Kuiken TA
    IEEE Trans Neural Syst Rehabil Eng; 2016 Apr; 24(4):485-94. PubMed ID: 25955989
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Compression of EMG signals with wavelet transform and artificial neural networks.
    Berger Pde A; Nascimento FA; do Carmo JC; da Rocha AF
    Physiol Meas; 2006 Jun; 27(6):457-65. PubMed ID: 16603798
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiday Evaluation of Techniques for EMG-Based Classification of Hand Motions.
    Waris A; Niazi IK; Jamil M; Englehart K; Jensen W; Kamavuako EN
    IEEE J Biomed Health Inform; 2019 Jul; 23(4):1526-1534. PubMed ID: 30106701
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.