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Journal Abstract Search

704 related items for PubMed ID: 15876628

  • 1. Can standard surface EMG processing parameters be used to estimate motor unit global firing rate?
    Zhou P, Rymer WZ.
    J Neural Eng; 2004 Jun; 1(2):99-110. PubMed ID: 15876628
    [Abstract] [Full Text] [Related]

  • 2. An evaluation of the utility and limitations of counting motor unit action potentials in the surface electromyogram.
    Zhou P, Rymer WZ.
    J Neural Eng; 2004 Dec; 1(4):238-45. PubMed ID: 15876644
    [Abstract] [Full Text] [Related]

  • 3. Factors governing the form of the relation between muscle force and the EMG: a simulation study.
    Zhou P, Rymer WZ.
    J Neurophysiol; 2004 Nov; 92(5):2878-86. PubMed ID: 15201310
    [Abstract] [Full Text] [Related]

  • 4. Behaviour of a surface EMG based measure for motor control: motor unit action potential rate in relation to force and muscle fatigue.
    Kallenberg LA, Hermens HJ.
    J Electromyogr Kinesiol; 2008 Oct; 18(5):780-8. PubMed ID: 17466536
    [Abstract] [Full Text] [Related]

  • 5. Model based sensitivity analysis of EMG-force relation with respect to motor unit properties: applications to muscle paresis in stroke.
    Zhou P, Suresh NL, Rymer WZ.
    Ann Biomed Eng; 2007 Sep; 35(9):1521-31. PubMed ID: 17530407
    [Abstract] [Full Text] [Related]

  • 6. Influence of high motor unit synchronization levels on non-linear and spectral variables of the surface EMG.
    Fattorini L, Felici F, Filligoi GC, Traballesi M, Farina D.
    J Neurosci Methods; 2005 Apr 30; 143(2):133-9. PubMed ID: 15814145
    [Abstract] [Full Text] [Related]

  • 7. Oscillations in the power spectra of motor unit signals caused by refractoriness variations.
    Hu XL, Tong KY, Hung LK.
    J Neural Eng; 2004 Sep 30; 1(3):174-85. PubMed ID: 15876637
    [Abstract] [Full Text] [Related]

  • 8. Estimation of motor unit conduction velocity from surface EMG recordings by signal-based selection of the spatial filters.
    Mesin L, Tizzani F, Farina D.
    IEEE Trans Biomed Eng; 2006 Oct 30; 53(10):1963-71. PubMed ID: 17019860
    [Abstract] [Full Text] [Related]

  • 9. A technique to track individual motor unit action potentials in surface EMG by monitoring their conduction velocities and amplitudes.
    Beck RB, Houtman CJ, O'Malley MJ, Lowery MM, Stegeman DF.
    IEEE Trans Biomed Eng; 2005 Apr 30; 52(4):622-9. PubMed ID: 15825864
    [Abstract] [Full Text] [Related]

  • 10. Does the frequency content of the surface mechanomyographic signal reflect motor unit firing rates? A brief review.
    Beck TW, Housh TJ, Johnson GO, Cramer JT, Weir JP, Coburn JW, Malek MH.
    J Electromyogr Kinesiol; 2007 Feb 30; 17(1):1-13. PubMed ID: 16497517
    [Abstract] [Full Text] [Related]

  • 11. A new method for the extraction and classification of single motor unit action potentials from surface EMG signals.
    Gazzoni M, Farina D, Merletti R.
    J Neurosci Methods; 2004 Jul 30; 136(2):165-77. PubMed ID: 15183268
    [Abstract] [Full Text] [Related]

  • 12. Behaviour of motor unit action potential rate, estimated from surface EMG, as a measure of muscle activation level.
    Kallenberg LA, Hermens HJ.
    J Neuroeng Rehabil; 2006 Jul 17; 3():15. PubMed ID: 16846508
    [Abstract] [Full Text] [Related]

  • 13. Simulations of motor unit number estimation techniques.
    Major LA, Jones KE.
    J Neural Eng; 2005 Jun 17; 2(2):17-34. PubMed ID: 15928409
    [Abstract] [Full Text] [Related]

  • 14. Motor unit action potential topography and its use in motor unit number estimation.
    Blok JH, Van Dijk JP, Zwarts MJ, Stegeman DF.
    Muscle Nerve; 2005 Sep 17; 32(3):280-91. PubMed ID: 15937880
    [Abstract] [Full Text] [Related]

  • 15. Decomposition-based quantitative electromyography: effect of force on motor unit potentials and motor unit number estimates.
    Boe SG, Stashuk DW, Brown WF, Doherty TJ.
    Muscle Nerve; 2005 Mar 17; 31(3):365-73. PubMed ID: 15627267
    [Abstract] [Full Text] [Related]

  • 16. Application of higher order statistics techniques to EMG signals to characterize the motor unit action potential.
    Shahid S, Walker J, Lyons GM, Byrne CA, Nene AV.
    IEEE Trans Biomed Eng; 2005 Jul 17; 52(7):1195-209. PubMed ID: 16041983
    [Abstract] [Full Text] [Related]

  • 17. MUAP number estimates in surface EMG: template-matching methods and their performance boundaries.
    Zhou P, Rymer WZ.
    Ann Biomed Eng; 2004 Jul 17; 32(7):1007-15. PubMed ID: 15298438
    [Abstract] [Full Text] [Related]

  • 18. A novel method for automated EMG decomposition and MUAP classification.
    Katsis CD, Goletsis Y, Likas A, Fotiadis DI, Sarmas I.
    Artif Intell Med; 2006 May 17; 37(1):55-64. PubMed ID: 16377160
    [Abstract] [Full Text] [Related]

  • 19. A novel approach for estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals.
    Farina D, Merletti R.
    IEEE Trans Biomed Eng; 2003 Dec 17; 50(12):1340-51. PubMed ID: 14656063
    [Abstract] [Full Text] [Related]

  • 20. Analysis and simulation of changes in EMG amplitude during high-level fatiguing contractions.
    Lowery MM, O'Malley MJ.
    IEEE Trans Biomed Eng; 2003 Sep 17; 50(9):1052-62. PubMed ID: 12943273
    [Abstract] [Full Text] [Related]

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