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2025, Número 1

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Investigación en Discapacidad 2025; 11 (1)


Correlaciones electrofisiológicas y análisis de la precisión diagnóstica de la electromiografía de superficie cuantitativa en la neuropatía mediana

Macías-Gallardo J, Nolla-Suárez J, Estañol B, Carrillo-Mora P, Chiquete-Anaya E, Velázquez-Hilario F, Estrada-Cortés B, Cruz-Sepúlveda M

Idioma: Ingles.
Referencias bibliográficas: 30
Paginas: 17-23
Archivo PDF: 337.98 Kb.





REFERENCIAS (EN ESTE ARTÍCULO)

  1. De Luca CJ, LeFever RS, McCue MP, Xenakis AP. Behaviour of human motor units in different muscles during linearly varying contractions. J Physiol. 1982; 329 (1): 113-128. doi: 10.1113/jphysiol.1982.sp014293.

  2. De Luca CJ, LeFever RS, McCue MP, Xenakis AP. Control scheme governing concurrently active human motor units during voluntary contractions. J Physiol. 1982; 329 (1): 129-142. doi: 10.1113/jphysiol.1982.sp014294.

  3. Stalberg E, van Dijk H, Falck B et al. Standards for quantification of EMG and neurography. Clin Neurophysiol. 2019; 130 (9): 1688-1729. doi: 10.1016/j.clinph.2019.05.008.

  4. Sanders DB, Stalberg EV, Nandedkar SD. Analysis of the electromyographic interference pattern. J Clin Neurophysiol. 1996; 13: 385-400. doi: 10.1097/00004691-199609000-00003.

  5. Seddon HJ. Surgical disorders of the peripheral nerves. Baltimore: Williams & Wilkins, 1972.

  6. Fuglsang-Frederiksen A. The utility of interference pattern analysis. Muscle Nerve. 2000; 23 (1): 18-36. doi: 10.1002/(sici)1097-4598(200001)23:1<18::aid-mus4>3.0.co;2-b.

  7. Fuglsang-Frederiksen A, LoMonaco M, Dahl K. Integrated electrical activity and number of zero crossings during a gradual increase in muscle force in patients with neuromuscular diseases. Electroencephalogr Clin Neurophysiol. 1984; 58 (3): 211-219. doi: 10.1016/0013-4694(84)90106-8.

  8. Willison RG. Analysis of electrical activity in healthy and dystrophic muscle in man. J Neurol Neurosurg Psychiatry. 1964; 27 (5): 386-394. doi: 10.1136/jnnp.27.5.386.

  9. Stalberg E, Chu-Andrews J, Bril V, Nandedkar SD, Stalberg S, Ericsson M. Automatic analysis of the EMG interference pattern. Electroencephalogr Clin Neurophysiol 1983; 56: 672-681. doi: 10.1016/0013-4694(83)90035-4.

  10. Liguori R, Dahl K, Fuglsang-Frederiksen A, Trojaborg W. Turns-amplitude analysis of the electromyographic recruitment pattern disregarding force measurement. II. Findings in patients with neuromuscular disorders. Muscle Nerve. 1992; 15 (12): 1319-1324. doi: 10.1002/mus.880151205.

  11. Nirkko AC, Rosler KM, Hess CW. Sensitivity and specificity of needle electromyography: a prospective study comparing automated interference pattern analysis with single motor unit potential analysis. Electroencephalogr Clin Neurophysiol. 1995; 97 (1): 1-10. doi: 10.1016/0924-980x(94)00248-6.

  12. Fuglsang-Frederiksen A, Mansson A. Analysis of electrical activity of normal muscle in man at different degrees of voluntary effort. J Neurol Neurosurg Psychiatry. 1975; 38: 683-689. doi: 10.1136/jnnp.38.7.683.

  13. Nandedkar SD, Sanders DB, Stalberg E. Automatic analysis of the electromyographic interference pattern. Part I: development of quantitative features. Muscle Nerve. 1986; 9 (5): 431-439. doi: 10.1002/mus.880090508.

  14. Nandedkar SD, Sanders DB, Stalberg EV. Simulation and analysis of the electromyographic interference pattern in normal muscle. Part II: activity, upper centile amplitude and number of small segments. Muscle Nerve. 1986; 9: 486-90. doi: 10.1002/mus.880090603.

  15. Fuglsang-Frederiksen A, Lo Monaco M, Dahl K. Turns analysis (peak ratio) in EMG using the mean amplitude as a substitute of force measurement. Electroencephalogr Clin Neurophysiol. 1985; 60 (3): 225-227. doi: 10.1016/0013-4694(85)90035-5.

  16. Finsterer J. EMG-interference pattern analysis. J Electromyogr Kinesiol. 2001; 11 (4): 231-246. doi: 10.1016/s1050-6411(01)00006-2.

  17. Fuglsang-Frederiksen A, Ronager J. EMG power spectrum, turns-amplitude analysis and motor unit potential duration in neuromuscular disorders. J Neurol Sci. 1990; 97 (1): 81-91. doi: 10.1016/0022-510x(90)90100-2.

  18. Fuglsang-Frederiksen A, Ronager J. The motor unit firing rate and the power spectrum EMG of humans. Electroencephalogr Clin Neurophysiol. 1988; 70: 68-72. doi: 10.1016/0013-4694(88)90196-4.

  19. Werner RA, Andary M. Electrodiagnostic evaluation of carpal tunnel syndrome. Muscle Nerve. 2011; 44 (4): 597-607. doi: 10.1002/mus.22208.

  20. Weiss L. Carpal tunnel syndrome. In: Weiss J, Weiss L, Silver J, editors. Easy EMG: a guide to performing nerve conduction studies and electromyography, 2nd ed. Elsevier; 2015 p. 111-117.

  21. Ronager J, Christensen H, Fuglsang-Frederiksen A. Power spectrum analysis of the EMG pattern in normal and diseased muscles. J Neurol Sci. 1989; 94 (1): 283-294. doi: 10.1016/0022-510X(89)90237-2.

  22. Marco G, Alberto B, Taian V. Surface EMG and muscle fatigue: multi-channel approaches to the study of myoelectric manifestations of muscle fatigue. Physiol Meas. 2017; 38 (5): R27-R60. doi: 10.1088/1361-6579/aa60b9.

  23. Krarup C. Compound sensory action potential in normal and pathological human nerves. Muscle Nerve. 2004; 29 (4): 465-483. doi: 10.1002/mus.10524.

  24. Tseng TJ, Hsiao TH, Hsieh ST, Hsieh YL. Determinants of nerve conduction recovery after nerve injuries: compression duration and nerve fiber types. Muscle Nerve. 2015; 52 (1): 107-112. doi: 10.1002/mus.24501.

  25. Hagberg M, Ericson BE. Myoelectric power spectrum dependence on muscular contraction level of elbow flexors. Eur J Appl Physiol. 1982; 48: 147-156. doi: 10.1007/BF00422976.

  26. Zwarts MJ, Stegeman DF. Multichannel surface EMG: basic aspects and clinical utility. Muscle Nerve. 2003; 28 (1): 1-17. doi: 10.1002/mus.10358.

  27. Smith CM, Housh TJ, Zuniga JM, Camic CL, Bergstrom HC, Smith DB, et al. Influences of interelectrode distance and innervation zone on electromyographic signals. Int J Sports Med. 2017; 38: 111-117. doi: 10.1055/s-0042-119398.

  28. Fuglsang-Frederiksen A, Scheel U, Buchthal F. Diagnostic yield of analysis of the pattern of electrical activity and of individual motor unit potentials in myopathy. J Neurol Neurosurg Psychiatry. 1976; 39: 742-750. doi: 10.1136/jnnp.39.8.742.

  29. Haig AJ, Gelblum JB, Rechtien JJ, Gitter AJ. Technology assessment: the use of surface EMG in the diagnosis and treatment of nerve and muscle disorders. Muscle Nerve. 1996; 19: 392-395. doi: 10.1002/(SICI)1097-4598(199603)19:3<392::AID-MUS21>3.0.CO;2-T.

  30. Roeleveld K, Sandberg A, Stalberg EV, Stegeman DF. Motor unit size estimation of enlarged motor units with surface electromyography. Muscle Nerve. 1998; 21: 878-886. doi: 10.1002/(sici)1097-4598(199807)21:7<878::aid-mus5>3.0.co;2-3.




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