Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approach

Medical Engineering and Physics

Volumn 21, Issue 4, 1999, Pages 225-234

  Conforto, S ^a   D'Alessio, T ^a  

^a ROMA TRE UNIVERSITY   (Italy)

Author keywords

Complex covariance; Dynamic myoelectric signal; Fatigue index

Indexed keywords

BIOELECTRIC PHENOMENA; COMPUTATIONAL COMPLEXITY; FOURIER TRANSFORMS; MUSCLE; RANDOM PROCESSES;

COMPLEX COVARIANCE; MUSCULAR FATIGUE INDEX;

BIOMECHANICS;

ARTICLE; COVARIANCE; MONITORING; MUSCLE FATIGUE; MYOELECTRICITY; NOISE; PRIORITY JOURNAL;

ADULT; ALGORITHMS; ANALYSIS OF VARIANCE; ELECTROPHYSIOLOGY; FOURIER ANALYSIS; HUMANS; MALE; MONITORING, PHYSIOLOGIC; MUSCLE FATIGUE; NORMAL DISTRIBUTION; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SURFACE PROPERTIES; TIME FACTORS;

EID: 0033134270     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4533(99)00049-1     Document Type: Article

References (27)

1. Giat Y., Mizrahi J., Levy M. A muscolotendon model of the fatigue profiles of paralyzed quadriceps muscle under FES. IEEE Trans. on BME. 40:1993;664-674.
2. Gross D., Ladd H.W., Riley E.J., Mackelm P.T., Grassino A. The effect of training on strength and endurance of the diaphram in quadriplegia. Am. J. Med. 68:1980;27-35.
3. Kramer S., Hagg T., Kemp B. Real-time measurement of muscle fatigue related changes in surface EMG. Med. and Biol. Eng. and Comput. 25:1987;627-630.
4. Roy S.H., De Luca C.J., Emley M., Buijs R. Spectral EMG assessment of back muscles in patients with LPB undergoing rehabilitation. Spine. 20:1995;38-48.
5. Basmajian V., De Luca C.J. Muscles alive. 1985;Williams and Wilkins, Baltimore (MD).
6. Triolo R, Lawrence M. An automated method for describing muscle fatigue. In Proc 16th Annu Int Conf IEEE Eng Med Biol Soc, 1994:337-8.
7. Biedermann J., Shanks G.L., Forrest W., Inglis J. Power spectrum analysis of myoelectric activity: discriminators in the differential assessment of patients with chronic low back pain. Spine. 16:1991;1179-1184.
8. De Luca C.J. Use of the surface EMG signal for performance evaluation of back muscle. Muscle and Nerve. 16:1993;210-216.
9. Kline A.B., Snyder-Macler L., Roy S.H., De Luca C.J. Comparison of spinal mobility and isometric trunk extensor forces with electromyographic spectral analysis in identifying low back pain. Phys Therapy. 71:1991;445-454.
10. Knaflitz M., Merletti R., De Luca C.J. Inference of motor unit recruitment order in voluntary and electrically elicited contractions. J. Appl. Physiol. 68:1990;1657-1667.
11. Knaflitz M., Balestra G., Angelini C., Cataldini M. Muscle fatigue evaluation in the follow-up of children affected by Duchenne muscular dystrophy. Basic and Appl. Myol. 6:1996;115-123.
12. Linssen W.H., Stegeman D., Joosten E., Binkhorst R., Merks M., Laak H., Notermans S. Fatigue in type I fiber predominance: a muscle force and surface EMG study on the relative role of type I and type II muscle fibers. Muscle and Nerve. 14:1991;829-837.
13. Mannion A.F., Dolan P. Electromyogrpahic median frequency changes during isometric contraction of the back extensors to fatigue. Spine. 19:1994;1223-1229.
14. Priez A., Duchenne J., Goubel F. Duchenne muscular dystrophy quantification: a multivariate analysis of surface EMG. Med. Biol. Eng. Comput. 30:1992;283-291.
15. Bigland-Ritchie B., Donovan E.F., Roussos C.S. Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts. J. Appl. Physiol. 51:1981;1300-1305.
16. De Luca C.J. Myoelectric manifestations of localized muscular fatigue in humans. CRC Crit. Rev. Biomed. Eng. 11:1985;251-279.
17. Hagberg M. Muscular endurance and surface electromyogram in isometric and dynamic exercise. J. Appl. Physiol. 51:1981;1-7.
18. Komi P.V., Tesch P. EMG frequency spectrum, muscle structure and fatigue during dynamic contractions in man. Eur. J. Appl. Physiol. 42:1979;41-50.
19. Kwanty E., Thomas D., Kwanty H. An application of signal processing techniques to the study of myoelectric signals. IEEE Trans. on BME. 17:1970;303-313.
20. Merletti R., Lo Conte L.R., Orizio C. Indices of muscle fatigue. J. Electromyogr. Kinesiol. 1:1991;20-23.
21. Park E., Meek G. Fatigue compensation of the electromyographic signal for prosthetic control and force estimation. IEEE Trans. on BME. 40:1993;1019-1023.
22. Petrofsky J.S., Glaser R.M., Phillips C.A. Evaluation of the amplitude and frequency components of the surface EMG as an index of muscle fatigue. Ergonomics. 25:1982;213-223.
23. Stulen F., De Luca C.J. Frequency parameters of the myoelectric signals as a measure of muscle conduction velocity. IEEE Trans. on BME. 28:1981;512-523.
24. Hary D., Belman M.J., Propst J., Lewis S. A statistical analysis of the spectral moments used in EMG test of endurance. J. Appl. Physiol. 53:1982;779-783.
25. Papoulis A. Probability, random variables and stochastic processes. 2nd ed. 1984;McGraw-Hill Book Company, New York.
26. Miller K.S., Rochwarger M.M. A covariance approach to spectral moment estimation. IEEE Trans. on Info. Theory. 18(5):1972;588-596.
27. Conforto S., D'Alessio T. Optimal rejection of movement artefacts from myoelctric signals by mean of a wavelet filtering procedure. J. Electromyogr. Kinesiol. 9(1):1999;47-57.