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2015 | 4 | 347-351

Article title

Czy metody automatycznej analizy badania EMG mogą zastąpić lekarza w procesie diagnostycznym?

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References

  • Hausmanowa-Petrusewicz I, red. Elektromiografia kliniczna. Warszawa: Wydawnictwo Lekarskie PZWL; 1986.
  • Binnie CD, Cooper R, Mauguiere R, et al. Clinical neurophysiology. London: Elsevier; 2004.
  • Walton JN. The electromyogram in myopathy: analysis with the audio-frequency spectrometer. J Neurol Neurosurg Psychiatry 1952; 15: 219–226.
  • Willison RG. Analysis of electrical activity in healthy and dystrophic muscle in man. J Neurol Neurosurg Psychiatry 1964; 27:386–394.
  • Stalberg E, Falck B. Invited review. The role of electromyography in neurology. Electroencephalog Clin Neurophysiol 1997;103: 579–598.
  • Nandedkar SD, Sanders DB, Stalberg E. Automatic analysis of the electromyographic interference pattern in normal muscle.Part I: Development of quantitative features. Muscle Nerve 1986; 9: 431–439.
  • Nandedkar SD, Sanders DB, Stalberg E. Automatic analysis of the electromyographic interference pattern in normal muscle.Part II: Findings in control subjects and in some neuromuscular disease. Muscle Nerve 1986; 9: 491–500.
  • Buchthal F, Rosenfalck P. Action potential parameters in different human muscles. Acta Psychiatr Neurol Scand 1955; 30:125–131.
  • Stalberg E, Erdem H. Quantitative motor unit potential analysis in routine. Electromyogr Clin Neurophysiol 2002; 42: 433–442.
  • Stalberg E. MACRO EMG, a new recording technique. J Neurol Neurosurg Psychiatry 1980; 43: 475–482.
  • Stalberg E. Single fiber EMG, macro EMG, and scanning EMG. New ways of looking at the motor unit. CRC Crit Rev Clin Neurobiol 1986; 2: 125–167.
  • Stalberg E, Andressen S, Falck B, et al. Quantitative analysis of individual motor unit potentials: a proposition for standarized terminology and criteria for measurement. J Clin Neurophysiol 1986; 3: 313–348.
  • Ludin HP. Electromyography in practice. New York: Thieme-Stratton; 1980.
  • Zalewska E, Hausmanowa-Petrusewicz I. Effectiveness of motor unit potentials classification using various parameters and indexes. Clin Neurophysiol 2000; 111: 1380–1387.
  • Buchthal F, Kamieniecka Z. The diagnostic yield of quantitative electromyography and quantified muscle biopsy in neuromuscular disorders. Muscle Nerve 1982; 5: 265–280.
  • Nandedkar SD, Dumitru D, King JC. Concentric needle electrode duration measurement and uptake area. Muscle Nerve 1997;20: 1225–1228.
  • Rosenfalck P. Electromyography in normal subjects of different age. Methods Clin Neurophysiol 1991; 2: 47.
  • McGill KC, Lau K, Dorfman LJ. A comparison of turns-analysis and motor unit analysis in electromyography. Electroencephalog Clin Neurophysiol 1991; 81: 8–17.
  • Finsterer J. EMG – interference pattern analysis. J Electromyogr Kinesiol 2001; 11: 231–246.
  • Larsson LE. On the relation between the EMG frequency spectrum and the duration of symptoms in lesions of the peripheral motor neuron. Electroencephalogr Clin Neurophysiol 1975; 38: 69–78.
  • Fuglsang-Frederiksen A, Rönager J. EMG power spectrum, turns-amplitude analysis and motor unit potential duration in neuromuscular disorders. J Neurol Sci 1990; 97: 81-91.
  • Müller R, Strässle K, Wirth B. Isometric back muscle endurance: an EMG study on the criterion validity of the Ito test. J Electromyogr Kinesiol 2010; 5: 845–850.
  • . Sabut SK, Kumar R, Lenka PK, et al. Surface EMG analysis of tibialis anterior muscle in walking with FES in stroke subjects. Conf Proc IEEE Eng Med Biol Soc 2010: 5839–5842.
  • Fuglsang-Frederiksen A, Scheel U, Buchthal F. Diagnostic yield of analysis of the analysis of the pattern of electrical activity of muscle and of individual motor unit potentials in neurogenic involvement. J Neurol Neurosurg Psychiatry 1977; 40: 544–540.
  • Stalberg E, Antoni L. Microprocessors in the analysis of the motor unit and the neuromuscular transmission. In: Yamazuchi N,Fujisawa K, eds. Proc. Conference on EEG and EMG. Data Processing. Kanazawa, Japan, Amsterdam: Elsevier; 1981; 295–313
  • Dobrowolski AP, Wierzbowski M, Tomczykiewicz K. Multiresolution MUAPs decomposition and SVM-based analysis in the classification of neuromuscular disorders. Comp Methods Progr Biomed 2012; 107: 393–403.
  • Tomczykiewicz K, Dobrowolski AP, Wierzbowski M. Evaluation of motor unit potential wavelet analysis in the electrodiagnosis of neuromuscular disorders. Muscle Nerve 2012; 46: 63–69.
  • Ren X, Hu X, Wang Z, et al. MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition.Med Biol Eng Comp 2006; 44: 371–382.

Document Type

Publication order reference

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YADDA identifier

bwmeta1.element.desklight-71babfd9-3ec8-47f7-894e-aed0f130a33d
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