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 *

159 related articles for article (PubMed ID: 8857311)

  • 1. Adaptive motor unit action potential clustering using shape and temporal information.
    Stashuk D; Qu Y
    Med Biol Eng Comput; 1996 Jan; 34(1):41-9. PubMed ID: 8857311
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Decomposition and quantitative analysis of clinical electromyographic signals.
    Stashuk DW
    Med Eng Phys; 1999; 21(6-7):389-404. PubMed ID: 10624736
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Resolving superimposed motor unit action potentials.
    Etawil H; Stashuk D
    Med Biol Eng Comput; 1996 Jan; 34(1):33-40. PubMed ID: 8857310
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [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]  

  • 7. 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]  

  • 8. Automatic decomposition of multichannel intramuscular EMG signals.
    Florestal JR; Mathieu PA; McGill KC
    J Electromyogr Kinesiol; 2009 Feb; 19(1):1-9. PubMed ID: 17513128
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition.
    Ren X; Hu X; Wang Z; Yan Z
    Med Biol Eng Comput; 2006 May; 44(5):371-82. PubMed ID: 16937179
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms.
    Farina D; Crosetti A; Merletti R
    IEEE Trans Biomed Eng; 2001 Jan; 48(1):66-77. PubMed ID: 11235593
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A technique for the detection, decomposition and analysis of the EMG signal.
    Mambrito B; De Luca CJ
    Electroencephalogr Clin Neurophysiol; 1984 Aug; 58(2):175-88. PubMed ID: 6204844
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Temporal transformation of multiunit activity improves identification of single motor units.
    Schalk G; Carp JS; Wolpaw JR
    J Neurosci Methods; 2002 Feb; 114(1):87-98. PubMed ID: 11850043
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic identification of motor unit action potential trains from electromyographic signals using fuzzy techniques.
    Chauvet E; Fokapu O; Hogrel JY; Gamet D; Duchêne J
    Med Biol Eng Comput; 2003 Nov; 41(6):646-53. PubMed ID: 14686590
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A simulation study on the relation between the motor unit depth and action potential from multi-channel surface electromyography recordings.
    He J; Luo Z
    J Clin Neurosci; 2018 Aug; 54():146-151. PubMed ID: 29805080
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessment of validity of a high-yield surface electromyogram decomposition.
    Hu X; Rymer WZ; Suresh NL
    J Neuroeng Rehabil; 2013 Sep; 10():99. PubMed ID: 24059856
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robust method for estimating motor unit firing-pattern statistics.
    Stashuk D; Qu Y
    Med Biol Eng Comput; 1996 Jan; 34(1):50-7. PubMed ID: 8857312
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.