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 *

158 related articles for article (PubMed ID: 24235117)

  • 1. Multiscale entropy analysis of different spontaneous motor unit discharge patterns.
    Zhang X; Chen X; Barkhaus PE; Zhou P
    IEEE J Biomed Health Inform; 2013 Mar; 17(2):470-6. PubMed ID: 24235117
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of surface EMG baseline for detection of hidden muscle activity.
    Zhang X; Zhou P
    J Neural Eng; 2014 Feb; 11(1):016011. PubMed ID: 24445526
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characterizing the complexity of spontaneous motor unit patterns of amyotrophic lateral sclerosis using approximate entropy.
    Zhou P; Barkhaus PE; Zhang X; Rymer WZ
    J Neural Eng; 2011 Dec; 8(6):066010. PubMed ID: 22049095
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Characterization of surface EMG signal based on fuzzy entropy.
    Chen W; Wang Z; Xie H; Yu W
    IEEE Trans Neural Syst Rehabil Eng; 2007 Jun; 15(2):266-72. PubMed ID: 17601197
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Intrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysis.
    Hu M; Liang H
    Cogn Neurodyn; 2011 Sep; 5(3):277-84. PubMed ID: 22942916
    [TBL] [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; 136(2):165-77. PubMed ID: 15183268
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entropy.
    Navaneethakrishna M; Karthick PA; Ramakrishnan S
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7881-4. PubMed ID: 26738119
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Entropy-based optimization of wavelet spatial filters.
    Farina D; Kamavuako EN; Wu J; Naddeo F
    IEEE Trans Biomed Eng; 2008 Mar; 55(3):914-22. PubMed ID: 18334382
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised Bayesian decomposition of multiunit EMG recordings using Tabu search.
    Ge D; Le Carpentier E; Farina D
    IEEE Trans Biomed Eng; 2010 Mar; 57(3):561-71. PubMed ID: 19457743
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [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]  

  • 16. Discharge patterns of spontaneous activity and motor units on concentric needle electromyography.
    Schulte-Mattler WJ; Georgiadis D; Zierz S
    Muscle Nerve; 2001 Jan; 24(1):123-6. PubMed ID: 11150976
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sample entropy analysis of surface EMG for improved muscle activity onset detection against spurious background spikes.
    Zhang X; Zhou P
    J Electromyogr Kinesiol; 2012 Dec; 22(6):901-7. PubMed ID: 22800657
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fuzzy approximate entropy analysis of chaotic and natural complex systems: detecting muscle fatigue using electromyography signals.
    Xie HB; Guo JY; Zheng YP
    Ann Biomed Eng; 2010 Apr; 38(4):1483-96. PubMed ID: 20099031
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A fast and reliable technique for muscle activity detection from surface EMG signals.
    Merlo A; Farina D; Merletti R
    IEEE Trans Biomed Eng; 2003 Mar; 50(3):316-23. PubMed ID: 12669988
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Framework Based on FastICA for High Density Surface EMG Decomposition.
    Chen M; Zhou P
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):117-27. PubMed ID: 25775496
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.