Computer Aided Electromyography and Expert Systems

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.