The second volume in the series Clinical Neurophysiology Updates, this book offers a state-of-the-art account of developments in the practical use of small computers for quantitative electromyography (EMG). EMG now plays an important role in clinical neurological diagnosis and motor control studies in humans, and can confirm or exclude clinical diagnoses, indicate the site and type of an abnormality or expose disorders that are clinically uncertain. The practical value of EMG methods has been enhanced by quantitative measures of the recorded potential, something slow and difficult to achieve manually and which can be more effectively secured by computer data processing. Computer data processing also enables the analysis of potentials under adverse conditions. Computer-aided EMG has become an integral part of the daily activities of EMG laboratories, both for diagnosis in clinical neurology, and for the monitoring and research into revalidation, orthopedic surgery, clinical pharmacology, sports medicine and human physiology. This book reflects the leaps in progress recently made in the field of computer-aided EMG and is an excellent reference book and practical handbook.
The second volume in the series Clinical Neurophysiology Updates, this book offers a state-of-the-art account of developments in the practical use of small computers for quantitative electromyography (EMG). EMG now plays an important role in clinical neurological diagnosis and motor control studies in humans, and can confirm or exclude clinical diagnoses, indicate the site and type of an abnormality or expose disorders that are clinically uncertain. The practical value of EMG methods has been enhanced by quantitative measures of the recorded potential, something slow and difficult to achieve manually and which can be more effectively secured by computer data processing. Computer data processing also enables the analysis of potentials under adverse conditions. Computer-aided EMG has become an integral part of the daily activities of EMG laboratories, both for diagnosis in clinical neurology, and for the monitoring and research into revalidation, orthopedic surgery, clinical pharmacology, sports medicine and human physiology. This book reflects the leaps in progress recently made in the field of computer-aided EMG and is an excellent reference book and practical handbook.
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Sprache
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Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Maße
Gewicht
ISBN-13
978-0-444-81106-6 (9780444811066)
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Schweitzer Klassifikation
Preface. I. Introduction. 1.The use of small computers in the EMG lab. (E. Stalberg and S. Stalberg). II. Analysis of motor units in needle EMG . 2. Reflections on EMG signal decomposition (C.J. De Luca). 3. Update on the decomposition and analysis of EMG signals (D. Stashuk and C.J. De Luca). 4. Results and reliability controls in computer analysis of needle EMG recordings (P. Guiheneuc). 5. An automatic EMG decomposition system for routine clinical examinations and clinical research. ARTMUP-automatic recognition and tracking of motor unit potentials (W.F. Haas and M. Meyer). 6. Concomitant multitrain automatic analysis of motor unit potentials and macroEMG (P. Guiheneuc, C. Doncarli and M. le Bastard). 7. Automatic decomposition electromyography (ADEMG). Methodologic and technical considerations (K.C. McGill and L.J. Dorfman). 8. Control properties of motor units. Evolving concepts (C.J. De Luca). III. Analysis of Surface EMG. 9. New techniques in surface electromyography (R. Merletti and C.J. De Luca). 10. Computer analysis of compound action potentials recorded with surface electrodes (L.J. Dorfman). 11. Crosstalk in surface electromyography (R. Merletti and C.J. De Luca). IV . Analysis of EMG interference. 12. Analysis of turns and amplitude in EMG (A.N. Gilai). 13. Interference EMG analysis (A. Fuglsang-Frederiksen). V. Applications of EMG analysis. 14. Surface EMG for diagnosis of neuromuscular diseases (M. Meyer, P.Hilfiker and A. Gygi). 15. Clinical studies using automatic decomposition electroymyography (ADEMG) in needle and surface EMG. (L.J. Dorfman, J.E. Howard and K.C. McGill). 16. Evolving characteristics of the median frequency of the EMG signal (S.H. Roy and C.J. De Luca). 17. Preliminary results of patients investigation using the De Luca EMG signal decomposition technique (J.F. Jabre). 18. Motor unit firing behavior in the aged (G. Kamen and C.J. De Luca). 19. The study of focal and global changes in the motor unit using concentric macroEMG (J.F. Jabre). VI. Artificial intelligence and expert systems in neuromuscular diagnosis. 20. Knowledge based systems and EMG (S. Andreassen and E. Stalberg). 21. MUNIN - an expert EMG assistant (S. Andreassen, F.V. Jensen, S.K. Andersen, B. Falck, U. Kjaerulff, M. Woldbye, A.R. Sorensen, A. Rosenfalck and F. Jensen). 22. An interactive neuroanatomy knowledge base for EMG (M. Woldbye, A.R. Sorensen, A. Rosenfalck, F.V. Jensen, B. Falck and S. Andreassen). 23. A rule-based EMG expert system for diagnosing neuromuscular disorders (A. Fuglsang-Frederiksen and S.M. Jeppesen). References. Subject index.
