Chapter 11 Methods for the quantitation of conventional needle EMG

Handbook of Clinical Neurophysiology

Volumn 2, Issue C, 2003, Pages 213-244

  Stålberg, Erik ^a  

^a UPPSALA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67249152754     PISSN: 15674231     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1567-4231(09)70121-2     Document Type: Article

References (70)

1. Andreassen S. Methods for computer-aided measurments of motor unit parameters. Electroencephalogr. Clin. Neurophysiol. 39 Suppl. (1987) 13-20
2. Bischoff C., Stålberg E., Falck B., and Edebol Eeg-Olofsson K. Reference values of motor unit action potentials obtained with multi-map analysis. Muscle Nerve 17 (1994) 842-851
3. Bischoff C., Stålberg E., and Falck B. Outliers - a way to detect abnormality in quantitative EMG. Muscle Nerve 17 (1994) 392-399
4. Bolton C.F., Sawa G.M., and Carter K. The effects of temperature on human compound action potentials. J. Neurol. Neurosurg. Psychiatry 44 (1981) 407-413
5. Buchthal F., and Kamieniecka Z. The diagnostic yield of quantified electromyography and quantified muscle biopsy in neuromuscular disorders. Muscle Nerve 5 (1982) 265-280
6. Buchthal F., and Rosenfalck P. Action potential parameters in different human muscles. Acta Physiol. Scand. 30 (1955) 125-131
7. Buchthal F., Pinelli P., and Rosenfalck P. Action potential parameters in normal human muscle and their physiological determinants. Acta Physiol. Scand. 22 (1954) 219-229
8. Buchthal F., Guld C., and Rosenfalck P. Action potential parameters in normal human muscle and their dependence on physical variables. Acta Physiol. Scand. 32 (1954) 200-218
9. Cao J., and Sanders D.B. Multivariate discriminant analysis of the electromyographic interference pattern: a statistical approach to discrimination among controls, myopathies and neurophathies. Med. Biol. Eng. Comput. 34 (1997) 369-374
10. Cenkovich F.S., and Gersten J.W. Fourier analysis of the normal human electromyogram. AmJ Phys. Med. 42 (1963) 192-204
11. Daube J.R. Needle examination in clinical electromyography. Muscle Nerve 14 (1991) 685-700
12. Daube J.R. Electrodiagnosis of muscle disorders. In: Engel A.G., and Franzini-Armstrong C. (Eds). Myology (1994), McGraw-Hill, New York 764-794
13. Ertas M., Stålberg E., and Falck B. Can the size principle be detected in conventional EMG recordings?. Muscle Nerve 18 (1995) 435-439
14. Fuglsang-Frederiksen A., and Rönager J. EMG power spectrum, turns - amplitude and motor unit potential duration in neuromuscular disorders. J. Neurol. Sci. 97 (1990) 81-91
15. Fuglsang-Frederiksen A., Scheel U., and Buchthal F. Diagnostic yield of analysis of the pattern of electrical activity and of individual motor unit potentials in myopathy. J. Neurol. Neurosurg. Psychiatry 39 (1976) 742-750
16. Fuglsang-Frederiksen A., Scheel U., and Buchthal F. Diagnostic yield of the analysis of the pattern of electrical activity of muscle and of individual motor unit potentials in neurogenic involvement. J. Neurol. Neurosurg. Psychiatry 70 (1977) 544-554
17. Fuglsang-Frederiksen A., Lo Monaco M., and Dahl K. Turns analysis (peak ratio) in EMG using the mean amplitude as a substitute of force measurement. Electroencephalogr. Clin. Neurophysiol. 60 (1985) 225-227
18. Gilchrist J.M., Nandedkar S.D., Stewart C., Massey J.M., and Sanders D.B. Automatic analysis of the electromyographic interference pattern using the turns:amplitude ratio. Electroencephalogr. Clin. Neurophysiol. 70 (1988) 534-540
19. Guiheneuc P., Calamel J., Doncarli C., Gitton D., and Michel C. Automatic detection and pattern recognition of single motor unit potentials in needle EMG. In: Desmedt J.E. (Ed). Computer Aided Electromyography. Progress in Clinical Neurophysiology (1983), Karger, Basel 73-127
20. Gydikov A., and Kosarov D. Extraterritorial potential field of impulses from separate motor units in human muscles. Electromyogr. Clin. Neurophysiol. 12 (1972) 283-305
21. Hayward M., and Willison R.G. Automatic analysis of the electromyogram in patients with chronic partial denervation. J. Neurol. Sci. 33 (1977) 415-423
22. Joynt R.L., Erlandson R.F.G., and Rourke M. Computerized synthesis of electromyographic interference patterns. Arch. Phys. Med. Rehabil. 69 (1988) 517-523
23. King J.C., Dumitru D., and Nandedkar S.D. Concentric and single fiber electrode spatial recording characteristics. Muscle Nerve 20 (1997) 1525-1533
24. Kopec J., and Hausmanowa-Petrusewicz I. On line computer application in clinical quantitative electromyography. Electromyogr. Clin. Neurophysiol. 16 (1976) 49-64
25. Lang H., and Falck B. A two channel method for sampling, averaging and quantifying motor unit potentials. Acta Physiol. Scand. 223 (1980) 199-206
26. Larsson L.E. On the relation between the EMG frequency spectrum and the duration of symptoms in lesions of the peripheral motor neuron. Electroencephalogr. Clin. Neurophysiol. 38 (1975) 69-78
27. LeFever R.S., and De Luca C.J. A procedure for decomposing the myoelectric signal into its constituent action potentials. I: Technique, theory and implementation. IEEE 29 (1982) 149-157
28. Liguori R., Dahl K., and Fuglsang-Frederiksen A. A. Turns-amplitude analysis of the electromyographic recruitment pattern disregarding force measurement. I. Method and reference values in healthy subjects. Muscle Nerve 15 (1992) 1318
29. McGill K.C., and Dorfman L.J. Automatic EMG decomposition in brachial biceps. Electroencephalogr. Clin. Neurophysiol. 61 (1985) 453-461
30. McGill K.C., and Dorfman L.J. Automatic decomposition electromyography (ADEMG), methodologic and technical considerations. In: Desmedt J.E. (Ed). Computer Aided Electromyography and Expert Systems (1989), Clinical Neurophysiology Updates 91-101
31. Nandedkar S.D., and Sanders D.B. Recording characteristics of monopolar EMG electrodes. Muscle Nerve 14 (1991) 108-112
32. Nandedkar S.D., Sanders D.B., and Stålberg E. Automatic analysis of the elctromyographic interference pattern. Part I: Development of quantitative features. Muscle Nerve 9 (1986) 431-439
33. Nandedkar S.D., Sanders D.B., and Stålberg E. Simulation and analysis of the electromyographic interference pattern in normal muscle. Part II: Activity, upper centile amplitude, and number of small segments. Muscle Nerve 9 (1986) 486-490
34. Nandedkar S.D., Sanders D.B., and Stålberg E. Simulation and analysis of the electromyographic interference pattern in normal muscle. Part I: Turns and amplitude measurement. Muscle Nerve 9 (1986) 423-430
35. Nandedkar S.D., Sanders D.B., and Stålberg E. Automatic analysis of the electromyographic interference pattern. Part II: Findings in control subjects and in some neuromuscular diseases. Muscle Nerve 9 (1986) 491-500
36. Nandedkar S.D., Sanders D.B., Stålberg E., and Andreassen S. Simulation of concentric needle EMG motor unit action potentials. Muscle Nerve 2 (1988) 151-159
37. Nandedkar S.D., Barkhaus P.E., Sanders D.B., and Stålberg E. Analysis of the amplitude and area of the concentric needle EMG motor units action potentials. Electroencephalogr. Clin. Neurophysiol. 69 (1988) 561-567
38. Nandedkar S.D., Tedman D., and Sanders D.B. Recording and physical characteristics of disposable concentric needle EMG electrodes. Muscle Nerve 13 (1990) 909-914
39. Nandedkar S.D., Barkhaus P.E., and Charles A. Multi-Motor Unit action potential analysis (MMA). Muscle Nerve 18 (1995) 1155-1166
40. Nandedkar S.D., Dumitru D., and King J.C. Concentric needle electrode duration measurement and uptake area. Muscle Nerve (1997) 1225-1228
41. Nandedkar SD, Stålberg E Sanders DB (2001) Quantitative EMG. In: D. Dumitru, MJ Zwarts Amato (Eds.) Electrodiag. Med., 293-356.
42. Nirkko A.C., Rosler K.M., and Hess C.W. Sensitivity and specificity of needle electromyography: a prospective study comparing automated interference pattern analysis with single motor unit potential analysis. Electroencephalogr. Clin. Neurophysiol. 97 (1955) 1-10
43. Payan J. The blanket principle: a technical note. Muscle Nerve 1 (1978) 423-426
44. Petajan J.H. Clinical electromyographic studies of diseases of the motor unit. Electroencephalogr. Clin. Neurophysiol. 36 (1974) 395-401
45. Petajan J.H., and Philip B.A. Frequency control of motor unit action potentials. Electroencephalogr. Clin. Neurophysiol. 27 (1969) 66-72
46. Rose A.L., and Willison R.G. Quantitative electromyography using automatic analysis: studies in healthy subjects and patients with primary muscle disease. J. Neurol. Neurosurg. Psychiatry 38 (1967) 403-410
47. Rönager J., Christensen H., and Fuglsang-Frederiksen A. Power spectrum analysis of the EMG pattern in normal and diseased muscles. J. Neurol. Sci. 94 (1989) 283-294
48. Sacco G., Buchthal F., and Rosenfalck P. Motor unit potentials at different ages. Ann. Neurol. 6 (1962) 366-373
49. Sanders D.B., Stålberg E., and Nandedkar S.D. Analysis of the electromyographic interference pattern. J. Clin. Neurophys. 13 (1996) 385-400
50. Smyth D.P.L. Quantitative electromyography in babies and young children with primary muscle disease and neurogenic lesions. J. Neurol. Sci. 56 (1982) 199-207
51. Smyth D.P.L., and Willison R.G. Quantitative electromyography in babies and young children with no evidence of neuromuscular disease. J. Neurol. Sci. 56 (1982) 209-217
52. Stashuk D., and Brown W.F. Quantitative electromyography. In: Brown W.F., Bolton C.F., and Aminoff M.J. (Eds). Neuromuscular Function and Disease (2002), Saunders, Philadelphia 311-348
53. Stashuk D., and De Luca C.J. Update on the decomposition and analysis of EMG signals. In: Desmedt J.E. (Ed). Computer Aided Electromyography and Expert Systems (1989), Clinical Neurophysiology Updates 39-53
54. Stewart C., Nandedkar S.D., Massey J., Gilchrist J., Barkhaus P.E., and Sanders D.B. Evaluation of an automatic method of measuring features of motor unit action potentials. Muscle Nerve 12 (1989) 141-148
55. Stålberg E. Propagation velocity in single human muscle fibers. Acta Physiol. Scand. Suppl. 287 (1966) 1-112 (Thesis)
56. Stålberg E., and Antoni L. Microprocessors in the analysis of the motor unit and neuromuscular transmission. In: Yamaguchi N., and Fujisawa K. (Eds). Recent Advances in EEG and EMG Data Processing (1981), Elsevier/North Holland, Amsterdam 295-313
57. Stålberg E., and Antoni L. Computer Aided EMG analysis. In: Desmedt J. (Ed). Progress in Clinical Neurophysiology, Vol 10 Computer aided analysis of EMG (1983), Karger, Basel 186-234
58. Stålberg E., and Erdem H. Quantitative motor unit potential analysis in routine. Electromyogr. Clin. Neurophysiol. 42 (2002) 433-442
59. Stålberg E., and Karlsson L. Simulation of the normal concentric needle electromyogram by using a muscle model. Clin. Neurophysiol. 112 (2001) 464-471
60. Stålberg E., and Sonoo M. Assessment of variability in the shape of the motor unit action potential, the "jiggle," at consecutive discharges. Muscle Nerve 17 (1994) 1135-1144
61. Stålberg E., Chu-Andrews J., Bril V., Nandedkar S.D., Stålberg S., and Ericsson M. Automatic analysis of the EMG interference pattern. Electroencephalogr. Clin. Neurophysiol. 56 (1983) 672-681
62. Stålberg, E, Andreassen, S, Falck, B, Lang, H, Rosenfalck, A and Trojaborg, W (1986a) Quantitative analysis of motor unit potentials: A proposition for standardized terminology and criteria for measurement. A nordic recommendation. Nordic Meeting of Nordic Clin. Neurophsyiol. Soc., Dalaro, Stockholm, 22-24 May, 1986.
63. Stålberg E., Andreassen S., Falck B., Lang H., Rosenfalck A., and Trojaborg W. Quantitative analysis of individual motor unit potentials - A proposition for standardized terminology and criteria for measurement. J. Clin. Neurophys. 3 (1986) 313-348
64. Stålberg E., Nandedkar S.D., Sanders D.B., and Falck B. Quantitative motor unit potential analysis. J. Clin. Neurophys. 13 (1996) 401-422
65. Stålberg E., Falck B., Sonoo M., and Åström M. Multi-MUP EMG analysis-a two year experience with a quantitative method in daily routine. Electromyogr. Clin. Neurophysiol. 97 (1995) 145-154
66. Walton J.N. The electromyogram in myopathy: analysis with the audio-frequency spectrometer. J. Neurol. Neurosurg. Psychiatry 15 (1952) 219-226
67. Willison R.G. Analysis of electrical activity in healthy and dystrophic human muscle in man. J. Neurol. Neurosurg. Psychiatry 27 (1964) 386-394
68. Zalewska E., and Hausmanowa-Petrusewicz I. Evaluation of MUAP shape irregularity - a new concept of quantification. IEEE 42 (1995) 616-620
69. Zalewska E., and Hausmanowa-Petrusewicz I. Effectiveness of motor unit potentials classification using various parameters and index. Clin. Neurophysiol. 111 (2000) 1380-1387
70. Zalewska E., Rowinska-Marcinska K., and Hausmanowa-Petrusewicz I. Shape irregularity of motor unit potential in some neuromuscular disoders. Muscle Nerve 21 (1998) 1181-1187