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 *

142 related articles for article (PubMed ID: 23365966)

  • 21. 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]  

  • 22. Optimal resolution of superimposed action potentials.
    McGill KC
    IEEE Trans Biomed Eng; 2002 Jul; 49(7):640-50. PubMed ID: 12083298
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A new and fast approach towards sEMG decomposition.
    Gligorijević I; van Dijk JP; Mijović B; Van Huffel S; Blok JH; De Vos M
    Med Biol Eng Comput; 2013 May; 51(5):593-605. PubMed ID: 23329211
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Simulation of the surface EMG of an active muscle.
    Rüegg DG; Nussbaumer R; Studer LM
    Biomed Tech (Berl); 1998; 43 Suppl 3():105-9. PubMed ID: 11776207
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Estimating motor unit discharge patterns from high-density surface electromyogram.
    Holobar A; Farina D; Gazzoni M; Merletti R; Zazula D
    Clin Neurophysiol; 2009 Mar; 120(3):551-62. PubMed ID: 19208498
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals.
    Del Vecchio A; Holobar A; Falla D; Felici F; Enoka RM; Farina D
    J Electromyogr Kinesiol; 2020 Aug; 53():102426. PubMed ID: 32438235
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Resolving superimposed MUAPs using particle swarm optimization.
    Marateb HR; McGill KC
    IEEE Trans Biomed Eng; 2009 Mar; 56(3):916-9. PubMed ID: 19272923
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The synthesis of EMG signals based on considerations of signal spectra.
    Gammans P; Qin SF; Wright DK
    Biomed Sci Instrum; 2003; 39():187-92. PubMed ID: 12724892
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Single motor unit analysis from spatially filtered surface electromyogram signals. Part I: spatial selectivity.
    Farina D; Schulte E; Merletti R; Rau G; Disselhorst-Klug C
    Med Biol Eng Comput; 2003 May; 41(3):330-7. PubMed ID: 12803299
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Segment-Wise Decomposition of Surface Electromyography to Identify Discharges Across Motor Neuron Populations.
    Chen C; Ma S; Yu Y; Sheng X; Zhu X
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2012-2021. PubMed ID: 35853067
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients.
    Zennaro D; Wellig P; Koch VM; Moschytz GS; Läubli T
    IEEE Trans Biomed Eng; 2003 Jan; 50(1):58-69. PubMed ID: 12617525
    [TBL] [Abstract][Full Text] [Related]  

  • 33. EMG signal decomposition: how can it be accomplished and used?
    Stashuk D
    J Electromyogr Kinesiol; 2001 Jun; 11(3):151-73. PubMed ID: 11335147
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials.
    Ren X; Yan Z; Wang Z; Hu X
    J Neurosci Methods; 2006 Dec; 158(2):313-22. PubMed ID: 16831466
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Correlation-based decomposition of surface electromyograms at low contraction forces.
    Holobar A; Zazula D
    Med Biol Eng Comput; 2004 Jul; 42(4):487-95. PubMed ID: 15320457
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Examination of motor unit control properties in stroke survivors using surface EMG decomposition: a preliminary report.
    Suresh N; Li X; Zhou P; Rymer WZ
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():8243-6. PubMed ID: 22256256
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings.
    Liu Y; Ning Y; Li S; Zhou P; Rymer WZ; Zhang Y
    Int J Neural Syst; 2015 Sep; 25(6):1550024. PubMed ID: 26160432
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Decomposition of multiunit electromyographic signals.
    Fang J; Agarwal GC; Shahani BT
    IEEE Trans Biomed Eng; 1999 Jun; 46(6):685-97. PubMed ID: 10356875
    [TBL] [Abstract][Full Text] [Related]  

  • 40. [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]  

    [Previous]   [Next]    [New Search]
    of 8.