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1988 | 39 | 1 |
Tytuł artykułu

The need for computer-aided electromyography

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Hausmanowa-Petrusewicz, I.. The need for computer-aided electromyography. Acta physiol, pol., 1988, 39(1): 1—40. The limits of quantitative manual electromyography (EMG) are discussed. The role of computers in EMG laboratories is at present to imitate or replace the physician performing the test, extending his memory, to gather valuable information which cannot be obtained in a conventional way or, on the contrary, to delete the redundant information. The difficulties in standardizing the parameters of a single motor unit action potential (MUAP) are mainly related to the complexity of the EMG signal and its variability, particularly in pathological states. A computer- -aided quantification of interference pattern is presented. The novel methods of examination applied in computerized EMG laboratories are discussed. The scope and limits of computer-aided EMG should be taken into action potential (MUAP) are mainly related to the complexicity of the EMG be accepted are listed.
Słowa kluczowe
EN
Wydawca
-
Rocznik
Tom
39
Numer
1
Opis fizyczny
p.1-10,ref.
Twórcy
  • Department of Neurology, School of Medicine, Warsaw, Poland
Bibliografia
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  • 2. Buchthal, F. (1957) An Introduction to Electromyography, Gyldendal, Copenhagen.
  • 3. Buchthal, F. (1962) The electromyogram. World Neurol. 3. 16—34.
  • 4. Buchthal, F. (1973) Diagnostic significance of the myopathic EMG. In Pathogenesis ol Human Muscular Dystrophies, Ed. L. P. Rowland, pp. 205—218, Excerpta Medica, Amsterdam.
  • 5. Buchthal, F., Pinelli, P., Rosenfalck, P. (1954) Action potential parameters in normal human muscle and their physiological determinants. Acta Physiol. Scand. 32. 219—229.
  • 6. Centkovitch, F., Hsu, S., Gersten, J. (1982) A quantitative electromyographic index that is independent of the force contraction. Eeg. a din. Neurophysiol. 54. 79—86.
  • 7. Cooper, R. (1985) Computer: master or slave. Proceed. Il Internat. Conterence on Computerized Electromyography, pp. 91—97, Monte Carlo, Monaco.
  • 8. Dorfman, L. J., Me Gill, K. C. (1985) Automatic decomposition electromyography, Proceed. II Internat. Conference on Computerized Electromyography, p. 65, Monte Carlo, Monaco.
  • 9. Le Weerd, J. P. C. (1984) Quantitative methods in electromyography a. electroneurography. In Current Practice oi Clinical Electromyography, Ed. Noterman, pp. 479— 521, Elsevier, Amsterdam.
  • 10. Falck, В., Lang, A. H., Koivisto, Т. (1985) Automatic analysis of averaged motor unit potentials. Proceed II Internat. Conference on Computerized Electromyography, pp. 76—80, Monte Carlo, Monaco.
  • 11. Fugelsgang-Fredricksen, A. (1981) Electrical activity and force during voluntary contraction of normal and diseased muscle. Acta Neurol. Scand. 63 (suppl. 83). 7—60.
  • 12. Gremy, F. (1985) Ethics of the person and the community in medical decision making. In Medical Decision Making, Eds. J. H. Van Bemmel, F. Gremy, a. J. Zvarowa, pp. 12—18, North Holland, Amsterdam.
  • 13. Guiheneuc, P., Calamel, J., Doncarli, C, Gitton, 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, 10, pp. 73—137, Karger, Basel.
  • 14. Hausmanowa-Petrusewicz, I. (1986) Some remarks on computer-aided electromyography. J. Neurol. 233. 77—82.
  • 15. Hausmanowa-Petrusewicz, I., Kopeć, J. (1978) Application of automatic analysis of EMG in clinical practice. Riv. Patol. Nerv. Ment. 99. 65—74.
  • 16. Hausmanowa-Petrusewicz, I., Kopeć, J. (1979) The value of automatic analysis for quantitative electromyography. Acta Physiol. Pol. 2. 231—239.
  • 17. Hausmanowa-Petrusewicz, I., Kopeć, J. (1983) Quantitative EMG and its automation. In Progress in Clinical Neurophysiology, Ed. J. E. Desmedt, 10, pp. 164—185. Karger, Basel.
  • 18. Hausmanowa-Petrusiewicz, I., Emeryk, В., Wąsowicz, В., Kopeć, А. (1967) Electromyography in neuromuscular diagnostics. Electromyography 7. 203—217.
  • 19. 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.
  • 20. Hayward, M. (1977) Automatic analysis of the electromyogram in healthy subjects of different ages. J. Neurol. Sci. 33. 387—412.
  • 21. Hayward, M. (1983) Quantification of interference patterns. In Progress in Clinical Neurophysiology, Ed. J. E. Desmedt, 10, pp. 128—149, Karger, Basel.
  • 22. Kadefors, R„ Peterson, I., Brotnan, H. (1973) Spectral analysis of events in electromyogram. In New Developments in Electromyography and Clinical Neurophysiology, Ed. J. E. Desmedt, pp. 628—637, Karger, Basel.
  • 23. Kopeć, J., Hausmanowia-Petruisewicz, I. (1976) On-line computer application in clinical quantitative EMG. Electromyography 6. 49—64.
  • 24. Kopeć, J., Hausmanowa-Petrusewicz, I., Rawski, M., Wołyński, M. (1973) Automatic analysis in electromyography. In New Development in Electromyography and Clinical Neurophysiology, Ed. J. E. Desmedt, pp. 477—481, Karger, Basel.
  • 25. Kunze, K. (1983) Quantitation of clinical EMG. In Progress in Clinical Neurophysiology, Ed. J. E. Desmedt, 10, pp. 235—241, Karger, Basel.
  • 26. 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, 2, pp. 454—461, Karger, Basel.
  • 27. Lindstrom, L., Petersen, I. (1983) Power spectrum analysis of EMG signals and its application. In Progress in Clinical Neurophysiology, Ed. J. E. Desmedt, 10, pp. 1—51, Karger, Basel.
  • 28. Mambvito, B., De Luca, C, J. (1983) Acquisition and decomposition of the EMG signals. In Progress in Clinical Neurophysiology, Ed. J. E. Desmedt, 10, pp. 52—72, Karger,Basel.
  • 29. Mc Comas, A. J., Sica, R. E. P. (1978) Automatic quantitative analysis of the electromyogram in partially denervated distal muscle: comparison with motor unit counting. Can. J. Neurol. Sci. 5. 377—383.
  • 30. Nandedkar, S. D., Sanders, D. B., Stälberg, E. V. (1986a) Simulation and analysis of the electromyographic interference pattern in normal muscle. I. Muscle a. Nerve 9. 423—430.
  • 31. Nandedkar, S. D., Sanders, D. B., Stälberg, E. V. (1986b) Automatic analysis of the electromyographic interference pattern I. Muscle a. Nerve 9. 431—439.
  • 32. Nandedkar, S. D., Sanders, D. B., Stälberg, E. V. (1986c) Simulation a. analysis of the electromyographic interference pattern in normal muscle II. Muscle a. Nerve 9. 486—490.
  • 33. Nandedkar, S. D., Sanders, D. B., Stälberg, E. V. (1986d) Automatic analysis of the electromyographic interference pattern II. Muscle a. Nerve 9. 491—500.
  • 34. Rose, A., Willison, R. G., (1967) Quantitative electromyography using automatic analysis. I. Studies in healthy subject and patients with primary muscle disease. I. Neurol. Neurosurg. Psychiatry 30. 403—410.
  • 35. Stälberg, E. (1985) Use of computer-aided EMG analysis in clinical routine. Proceed II Internat. Conference on Computerized Electromyography, pp. 40—64., Monte Carlo, Monaco.
  • 36. Stälberg, E, Antoni, E (1983) Computer-aided EMG analysis. In Progress in Clinical Neurophysiology, Ed. J. E. Desmedt, 10, pp. 186—234, Karger, Basel.
  • 37. Stälberg, E, Chou, J., Bril, V., Nandedkar, S., Stälberg, S., Ericson, M. (1983) Automatic analysis of EMG interference pattern. Eeg din. Neurophysiol. 56. 672—681.
  • 38. Van Bemmel, J. H. (1985) Formalization of medical knowledge, the basis for diagnostic strategies and expert system. In Medical Decision Making, Eds. J. H. Van Bemmel, F. Gremy, J. Zvarowa, pp. 1—11, North Holland, Amsterdam.
  • 39. Willison, R. G. (1964) Analysis of electrical activity in healthy and dystrophic muscle in man. J. Neurol. Neurosurg. Psychiatry 27. 386—394.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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