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 *

554 related articles for article (PubMed ID: 15876644)

  • 1. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. 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; 37(1):55-64. PubMed ID: 16377160
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 32(3):280-91. PubMed ID: 15937880
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 53(10):1963-71. PubMed ID: 17019860
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 52(4):622-9. PubMed ID: 15825864
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Motor unit recruitment and bursts of activity in the surface electromyogram during a sustained contraction.
    Riley ZA; Terry ME; Mendez-Villanueva A; Litsey JC; Enoka RM
    Muscle Nerve; 2008 Jun; 37(6):745-53. PubMed ID: 18288713
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 50(12):1340-51. PubMed ID: 14656063
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using two-dimensional spatial information in decomposition of surface EMG signals.
    Kleine BU; van Dijk JP; Lapatki BG; Zwarts MJ; Stegeman DF
    J Electromyogr Kinesiol; 2007 Oct; 17(5):535-48. PubMed ID: 16904342
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated decomposition of intramuscular electromyographic signals.
    Florestal JR; Mathieu PA; Malanda A
    IEEE Trans Biomed Eng; 2006 May; 53(5):832-9. PubMed ID: 16686405
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Computer-assisted analysis of the electromyogram for routine clinical use].
    Strempel JF; Feistner H; Münte TF; Hinrichs H; Heinze HJ
    EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb; 1992 Sep; 23(3):127-34. PubMed ID: 1425388
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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; 52(7):1195-209. PubMed ID: 16041983
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Study on the classification of motor unit action potentials from single-channel surface EMG signal based on the wavelet analysis].
    Li Q; Yang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Aug; 27(4):893-7. PubMed ID: 20842866
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique.
    Nishihara K; Kawai H; Gomi T; Terajima M; Chiba Y
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):636-42. PubMed ID: 18269999
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The cross-correlation and phase-difference methods are not equivalent under noninvasive estimation of the motor unit propagation velocity.
    Arabadzhiev TI; Dimitrov GV; Dimitrova NA
    J Electromyogr Kinesiol; 2004 Jun; 14(3):295-305. PubMed ID: 15094143
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Simulation of concentric needle EMG motor unit action potentials.
    Nandedkar SD; Sanders DB; Stålberg EV; Andreassen S
    Muscle Nerve; 1988 Feb; 11(2):151-9. PubMed ID: 3343991
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-motor unit action potential analysis (MMA).
    Nandedkar SD; Barkhaus PE; Charles A
    Muscle Nerve; 1995 Oct; 18(10):1155-66. PubMed ID: 7659110
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 136(2):165-77. PubMed ID: 15183268
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 28.