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1988 | 39 | 1 |
Tytuł artykułu

The Diagnostic yield of automatic EMG analysis in neuromuscular diseases

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Hausmanowa-Petrusewicz, I., Rowińska-Marcińska, K„ Emeryk-Szajewska, B„ Ryniewicz, B„ Kopeć, A., Kopeć, J. and Szmidt-Saikowska E.: The diagnostic yield of automatic EMG analysis in neuromuscular diseases. Acta physiol, pol., 1988, 39 (1): 11—19. The aim of the study was to evaluate the diagnostic yield of automatic EMG analysis employed in differentiating normal from diseased muscle and myogenic, neural and spinal lesions. The material comprised 520 patients with neuromuscular diseases. Only diagnostically confirmed cases were included into the study. The control group comprised 51 healthy subjects. In all patients and healthy subjects routine EMG examination was performed by means of both the conventional technique and automatic method. On the basis of the statistical analysis of the material the authors concluded that the method of automated EMG using the Polish minicomputer Anops makes possible distinction of the main types of pathological processes affecting the muscles with higher than previously objectivity and reliability. They stress, however, the important role of the examiner and his experience.
Słowa kluczowe
EN
Wydawca
-
Rocznik
Tom
39
Numer
1
Opis fizyczny
p.11-19,fig.,ref.
Twórcy
  • Department of Neurology, School of Medicine, Warsaw, Poland
  • Department of Neurology, School of Medicine, Warsaw, Poland
  • Department of Neurology, School of Medicine, Warsaw, Poland
autor
  • Department of Neurology, School of Medicine, Warsaw, Poland
autor
  • Department of Neurology, School of Medicine, Warsaw, Poland
autor
  • Department of Neurology, School of Medicine, Warsaw, Poland
  • Department of Neurology, School of Medicine, Warsaw, Poland
Bibliografia
  • 1. Andreasen, S. (1983} Computerized analysis of motor unit firing. In: Progress in Clinical Neurophysiology. Ed. J. E. Desmedt, pp. 150—163, Karger, Basel.
  • 2. Falck, В., Lang, A. H., Koivisto, T. (1985) Automatic analysis of averaged motor unit potentials. Proceedings oi the II International Conference on Computerized Electro- myogram, Monte Carlo, pp. 76—80.
  • 3. Fugelsang-Fredricksen, A. (19811) Electrical activity -and force during voluntary contraction of normal and diseased muscle. Acta Neurol. Scand. 63 (suppl. 83). 7—60.
  • 4. Guiheneuc, P., Calamel, J., Donoarli, C., Ghtton, D., Michel, C. (1983) Automatic detection in pattern recognition of single motor unit potentials in needle EMG. In Progress in Clinical Neurophysiology. Ed. J. E. Desmedt, vol. 10, pp. 73—137, Karger, Basel.
  • 5. Hausmanowa-Petrusewicz, I., Emeryk, В. Wąsowicz, В., Kopeć А. (1967) Electromyography in neuromuscular diagnostics. Electromyography 7. 203—217.
  • 6. Hausmanowa-Petrusewicz, I., Gawroński, R., Decowski, M., Kopeć, J., Moroz, Z. (1969) Automatic evaluation of distribution of motor unit potential duration in EMG record. Pol. Med. J. 8. 1488—1497.
  • 7. Hausmanowa-Petrusewicz, I., Kopeć, J. (1978) Application of automatic analysis of EMG in clinical practice. Riv. Patol. Nerv. Ment. 99. 65—74.
  • 8. Hausmanowa-Petrusewicz, I., Kopeć, J. (1979) The value of automatic analysis for quantitative electromyography. Acta Physiol. Pol. 2. 231—239.
  • 9. Hausmanowa-Petrusewicz, I., Kopeć, J. (1983) Quantitative EMG and its automation. In Progress in Clinical Neurophysiology. Ed. J. E. Desmedt, vol. 10, pp. 164— 185, Karger, Basel.
  • 10. Hayward, M. (1977) Automatic analysis of the elctromyogram in healthy subjects of different ages. J. Neurol. Sci. 33. 387—412,
  • 11. Kopeć, J. (1984) Two new descriptors for complete EMG evaluation, applied in automatic analysis. Electromyogr. din. Neurophysiol. 24. 321—330.
  • 12. Kopeć, J., Hausmanowa-Petrusewicz, I. (1976) One-line computer application in clinical quantitative EMG. Electromyography 6. 49—64.
  • 13. Kopeć, J., Hausmanowa-Petrusewicz, I., Rawski, M, Wołyński, M. (1973) Automatic analysis in electromyography. In New Developments in Electromyography and Clinical Neurophysiology. Ed. J. E. Desmedt, vol. 2, pp. 477—481, Karger, Basel.
  • 14. Kunze, K. (1983) Quantitation of clinical EMG. In Progress in Clinical Neurophysiology. Ed. J. E. Desmedt, vol. 10, pp. 235—241, Karger, Basel.
  • 15. Lee, R. G., White D. G. (1973) Computer analysis of motor unit action potentials in routine clinical electromyography. In New Developments in Electromyography and Clinical Neurophysiology. Ed. J. E. Desmedt, vol. 2, pp. 454—461, Karger, Basel.
  • 16. Mambvito, B., de Luca, C. J. (1983) Acquisition and decomposition of the EMG signals. In Progress in Clinical Neurophysiology. Ed. J. E. Desmedt, vol. 10, pp. 52—72, Karger, Basel.
  • 17. Stälberg, E., Antoni, L. (1983) Computer-aided EMG analysis. In Progress in Clinical Neurophysiology. Ed. J. E. Dasmedt, vol. 10, pp. 186—234, Karger, Basel.
  • 18. Stälberg, E., Chou, J., Bril, V., Nandedkar, S., Stälberg, S., Ercson, M. (1983) Automatic analysis of EMG interference pattern. Electroencephalogr. ciin. Neurophysiol. 56. 672—681.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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