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 *

143 related articles for article (PubMed ID: 8857310)

  • 21. 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]  

  • 22. [Research on the surface electromyography signal decomposition based on multi-channel signal fusion analysis].
    Li Q; Yang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2012 Oct; 29(5):948-53. PubMed ID: 23198440
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Sliding window averaging in normal and pathological motor unit action potential trains.
    Malanda-Trigueros A; Navallas J; Rodriguez-Falces J; Rodriguez-Carreño I; Porta S; Fernández-Martínez M; Gila L
    Clin Neurophysiol; 2018 Jun; 129(6):1170-1181. PubMed ID: 29649769
    [TBL] [Abstract][Full Text] [Related]  

  • 24. The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part II-modelling interpretation.
    Nakamura H; Yoshida M; Kotani M; Akazawa K; Moritani T
    J Electromyogr Kinesiol; 2004 Aug; 14(4):433-41. PubMed ID: 15165593
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A comparison of three quantitative motor unit analysis algorithms.
    McGill KC
    Suppl Clin Neurophysiol; 2009; 60():273-8. PubMed ID: 20715389
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Experimental simulation of cat electromyogram: evidence for algebraic summation of motor-unit action-potential trains.
    Day SJ; Hulliger M
    J Neurophysiol; 2001 Nov; 86(5):2144-58. PubMed ID: 11698507
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Optimizing and standardizing quantitative EMG.
    Brownell AA; Bromberg MB
    Suppl Clin Neurophysiol; 2009; 60():263-9. PubMed ID: 20715388
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. 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]  

  • 31. A comparison of two commercial quantitative electromyographic algorithms with manual analysis.
    Bromberg MB; Smith AG; Bauerle J
    Muscle Nerve; 1999 Sep; 22(9):1244-8. PubMed ID: 10454721
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Motor unit action potential conduction velocity estimated from surface electromyographic signals using image processing techniques.
    Soares FA; Carvalho JL; Miosso CJ; de Andrade MM; da Rocha AF
    Biomed Eng Online; 2015 Sep; 14():84. PubMed ID: 26384112
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Simulation of myopathic motor unit action potentials.
    Nandedkar SD; Sanders DB
    Muscle Nerve; 1989 Mar; 12(3):197-202. PubMed ID: 2725550
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Robust supervised classification of motor unit action potentials.
    Stashuk D; Paoli GM
    Med Biol Eng Comput; 1998 Jan; 36(1):75-82. PubMed ID: 9614752
    [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. The application of independent component analysis to the multi-channel surface electromyographic signals for separation of motor unit action potential trains: part I-measuring techniques.
    Nakamura H; Yoshida M; Kotani M; Akazawa K; Moritani T
    J Electromyogr Kinesiol; 2004 Aug; 14(4):423-32. PubMed ID: 15165592
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Comparison of three algorithms for multi-motor unit detection and waveform marking.
    Brownell AA; Ni O; Bromberg MB
    Muscle Nerve; 2006 Apr; 33(4):538-45. PubMed ID: 16382444
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Efficient parameterization of MUAP signal for identification of MU and volume conductor characteristics using neural networks.
    Reffad A; Bekka RE; Mebarkia K; Chikouche D
    J Neurosci Methods; 2007 Aug; 164(2):325-38. PubMed ID: 17544153
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Decomposition of Multi-Channel Intramuscular EMG Signals by Cyclostationary-Based Blind Source Separation.
    Roussel J; Ravier P; Haritopoulos M; Farina D; Buttelli O
    IEEE Trans Neural Syst Rehabil Eng; 2017 Nov; 25(11):2035-2045. PubMed ID: 28475064
    [TBL] [Abstract][Full Text] [Related]  

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