Myoelectric Manifestations of Muscle Fatigue
R. Merletti, D. Farina,
D. Farina
Aalborg University, Politecnico di Torino, Aalborg, Denmark
Search for more papers by this authorR. Merletti, D. Farina,
D. Farina
Aalborg University, Politecnico di Torino, Aalborg, Denmark
Search for more papers by this authorAbstract
Among physiologists, “fatigue” has been defined in different ways. One definition is the “failure to maintain the required or expected force.” This chapter examines muscle fatigue. After the introduction, the next section examines sites of neuromuscular fatigue. Equations that quantify fatigue are given. A later section discusses myoelectric manifestations of muscle fatigue. Finally, the chapter concludes with estimates of EMG variables and fatigue indexes.
Bibliography
- 1S. Andreassen and L. Arendt-Nielsen, Muscle fibre conduction velocity in motor units of the human anterior tibial muscle: A new size principle parameter. J. Physiol. 1987; 391: 561–571.
- 2B. Bigland-Ritchie and J. J. Woods, Changes in muscle contractile properties and neural control during human muscular fatigue. Muscle Nerve 1984; 7: 691–699.
- 3M. Bilodeau, A. B. Aesenault, D. Gravel, and D. Bourbonnais, EMG power spectrum of elbow extensors: A reliability study. Electrom. Clin. Neurophys. 1994; 34: 149–158.
- 4P. Bonato, G. Gagliati, and M. Knaflitz, Analysis of surface myoelectric signals recorded durino dynamic contractions. IEEE Eng. Med. Biol. Mag. 1996; 15: 102–111.
- 5P. Bonato, S. H. Roy, M. Knaflitz, and C. J. DeLuca, Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. IEEE Trans. Biomed. Eng. 2001; 48: 745–753.
- 6L. Brody, M. Pollock, S. Roy, C. J. DeLuca, and B. Celli, pH induced effects on median frequency and conduction velocity of the myoelectric signal. J. Appl. Physiol. 1991; 71: 1878–1885.
- 7D. B. Chaffin, Localized muscle fatigue, definition and measurements. J. Occup. Med. 1973; 15: 346–354.
- 8C. Chisari, C. D’Alessandro, M. L. Manca, and B. Rossi, Sarcolemmal excitability in myotonic dystrophy: Assessment through surface EMG. Muscle Nerve 1998; 21: 543–546.
10.1002/(SICI)1097-4598(199804)21:4<543::AID-MUS17>3.0.CO;2-Y CAS PubMed Web of Science® Google Scholar
- 9H. Daanen, M. Mazure, M. Holewijn, and E. Van Der Velde, Reproducibility of the mean power frequency of the surface electromyogram. Eur. J. App. Physiol. 1990; 61: 274–277.
- 10A. Dedering, M. Roos af Hjelmsater, B. Elfving, K. Arms-Ringdahl, and G. Nemeth, Between days reliability of subjective and objective assessments of back extensor muscle fatigue in subjects without lower back pain. J. Electromyogr. Kinesiol. 2000; 10: 151–158.
- 11C. J. DeLuca, Myoelectric manifestations of localized muscular fatigue in humans. CRC Crit. Rev. Biomed. Eng. 1984; 11: 251–279.
- 12J. H. van Dieen and P. Heijblom, Reproducibility of isometric trunk extension torque, trunk extensor endurance, and related electromyographic parameters in the context of their clinical applicability. J. Orthop. Res. 1996; 14: 139–143.
- 13R. H. T. Edwards, Human muscle function and fatigue. Ciba. Found. Symp. 1981; 82: 1–18.
- 14D. Falla, P. Dall’Alba, A. Rainoldi, R. Merletti, and G. Jull, Repeatability of surface EMG variables in the sternocleidomastoid and anterior scalene muscles. Eur. J. Appl. Physiol. 2002; 87: 542–549.
- 15D. Farina, E. Fortunato, and R. Merletti, Non-invasive estimation of motor unit conduction velocity distribution using linear electrode arrays. IEEE Trans. Biomed. Eng. 2000; 41: 380–388.
- 16D. Farina, R. Merletti, M. Nazzaro, and I. Caruso, Effect of joint angle on EMG variables in leg and thigh muscles. IEEE Eng. Med. Biol. Mag. 2001; 20: 62–71.
- 17D. Farina, M. Fosci, and R. Merletti, Motor unit recruitment strategies investigated by surface EMG variables. J. Appl. Physiol. 2002; 92: 235–47.
- 18D. Farina, R. Merletti, and D. Stegeman, Biophysics of the generation of EMG signals, Chapter 4 of Electromyography: Physiology, Engineering and Noninvasive Applications, R. Merletti and P. Parker ed., Chapter 9, IEEE press and J. Wiley, 2004.
- 19D. Farina, M. Pozzo, E. Merlo, A. Bottin, and R. Merletti, Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions. IEEE Trans. Biomed. Eng. 2004; 51: 1383–1393.
- 20D. Farina, R. Merletti, and R. M. Enoka, The extraction of neural strategies from the surface EMG. J. Appl. Physiol. 2004; 96: 1486–1495.
- 21M. Gazzoni, D. Farina, and R. Merletti, Motor unit recruitment during constant low force and long duration muscle contractions investigated by surface electromyography. Acta Physiol. Pharmacol. Bulg. 2001; 26: 67–71.
- 22B. Gerdle, K. Henriksson-Larsen, R. Lorentzon, and M. L. Wretling, Dependence of the mean power frequency of the electromyogram on muscle force and fibre type. Acta Physiol. Scand 1991; 142: 457–465.
- 23H. J. Hermens, B. Freriks, R. Merletti, D. Stegeman, J. Blok, G. Rau, C. Disselhorst-Klug, and G. Hägg, European recommendations for surface electromyography. Roessingh Research and Development, NL, ISBN 90-75452-15-2, 1999.
- 24H. C. Hopf, R. L. Herbort, M. Gnass, H. Günther, and K. Lowitzsch, Fast and slow contraction times associated with fast and slow spike conduction of skeletal muscle fibers in normal subject and in spastic hemiparesis. Z. Neurol. 1974; 206: 193–202.
- 25C. Jensen, O. Vasseljen, and R. H. Westgaard, The influence of electrode position on bipolar surface electromyogram recordings of the upper trapezius muscle. Eur. Journ. Appl. Physiol. 1993; 67: 266–273.
- 26S. Karlsson, J. Yu, and M. Akay, Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study. IEEE Trans. Biomed. Eng. 2000; 47: 228–238.
- 27J. Kollmitzer, G. R. Ebenbichler, and A. Kopf, Reliability of surface electromyographic measurements. Clin. Neurophysiol. 1999; 110: 725–734.
- 28E. J. Kupa, S. H. Roy, S. C. Kandarian, and C. J. DeLuca, Effects of muscle fiber type and size on EMG median frequency and conduction velocity. J. Appl. Physiol. 1995; 79: 23–32.
- 29C. Lariviere, A. B. Arsenault, D. Gravel, D. Gagnon, and P. Loisel, Evaluation of measurement strategies to increase the reliability of EMG indices to assess back muscle fatigue and recovery. J. Electromyogr. Kinesiol. 2002; 12: 91–102.
- 30L. Lindstrom, R. Magnusson, and R. Petersen, Muscle fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals. Electrom. Clin. Neurophysol. 1970; 10: 341–356.
- 31L. Lindstrom and R. Magnusson, Interpretation of myoelectric power spectra: A model and its applications. Proc. IEEE 1977; 65: 653–662.
- 32W. H. Linssen, M. Jacobs, D. F. Stegeman, E. M. Joosten, and J. Moleman, Muscle fatigue in McArdle's disease. Muscle fibre conduction velocity and surface EMG frequency spectrum during ischaemic exercise. Brain 1990; 113: 1779–1793.
- 33W. H. Linssen, D. F. Stegeman, E. M. Joosten, R. A. Binkhorst, M. J. Merks, H. J. ter Laak, and S. L. Notermans, 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 Nerve 1991; 14: 829–837.
- 34W. Linssen, D. Stegeman, E. Joosten, M. van’t Hof, R. Binkhorst, and S. Notermans, Variability and interrelationships of surface EMG parameters during local muscle fatigue. Muscle Nerve 1993; 16: 849–856.
- 35E. J. Maarsingh, L. A. van Eykern, A. B. Sprikkelman, M. O. Hoekstra, and W. M. van Aalderen, Respiratory muscle activity measured with a noninvasive EMG technique: Technical aspects and reproducibility. J. Appl. Physiol. 2000; 88: 1955–1961.
- 36A. F. Mannion, G. A. Dumas, J. M. Stevenson, and R. G. Cooper, The influence of muscle fiber size and type distribution on electromyographic measures of back muscle fatigability. Spine 1998; 23: 576–584.
- 37D. T. MacIsaac, P. A. Parker, R. N. Scott, K. B. Englehart, and C. Duffley, Influences of dynamic factors on myoelectric parameters. IEEE Eng. Med. Biol. Mag. 2001; 20: 82–89.
- 38R. Merletti, M. Knaflitz, and C. J. DeLuca, Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions. J. Appl. Physiol. 1990; 69: 1810–1820.
- 39R. Merletti, L. R. Lo Conte, and C. Orizio, Indices of muscle fatigue. J. Electrom. Kinesiol. 1991; 1: 20–33.
- 40R. Merletti, M. Knaflitz, and C. J. DeLuca, Electrically evoked myoelectric signals. CRC Rev. Biomed. Eng. 1992; 19: 293–340.
- 41R. Merletti, L. R. Lo Conte, and D. Sathyan, Repeatability of electrically-evoked myoelectric signals in the human tibialis anterior. J. Electrom. Kinesiol. 1995; 5: 67–80.
- 42R. Merletti and S. Roy, Myoelectric and mechanical manifestations of muscle fatigue in voluntary contractions. Journ. Orthop. Sports Phys. Ther. 1996; 24: 342–353.
- 43R. Merletti, A. Fiorito, L. R. Lo Conte, and C. Cisari, Repeatability of electrically evoked EMG signals in the human vastus medialis muscle. Muscle Nerve 1998; 21: 184–193.
10.1002/(SICI)1097-4598(199802)21:2<184::AID-MUS5>3.0.CO;2-7 CAS PubMed Web of Science® Google Scholar
- 44R. Merletti, D. Farina, and A. Rainoldi, Myoelectric manifestations of muscle fatigue. In: S. Kumar, ed., Muscle Strength. CRC Press, 2004.
- 45R. Merletti, A. Rainoldi, and D. Farina, Myoelectric manifestations of muscle fatigue, in Electromyography: Physiology, Engineering and Noninvasive Applications, R. Merletti and P. Parker eds., Chapter 9, IEEE Press and J. Wiley, 2004.
- 46E. Merlo, M. Pozzo, G. Antonutto, P. E. di Prampero, R. Merletti, and D. Farina, Time-frequency analysis and estimation of muscle fiber conduction velocity from surface EMG signals during explosive dynamic contractions. J. Neurosci. Methods 2005; 142: 267–274.
- 47L. Mesin and D. Farina, Estimation of M-wave scale factor during sustained contractions at high stimulation rate. IEEE Trans. BME 2005; 52: 869–877.
- 48J. K. Ng and C. A. Richardson, Reliability of electromyographic power spectral analysis of back muscle endurance in healthy subjects. Arch. Phys. Med. Rehabil. 1996; 77: 259–264.
- 49R. Pedrinelli, L. Marino, G. Dell’Omo, G. Siciliano, and B. Rossi, Altered surface myoelectric signals in peripheral vascular disease: Correlations with muscle fiber composition. Muscle Nerve 1998; 21: 201–210.
10.1002/(SICI)1097-4598(199802)21:2<201::AID-MUS7>3.0.CO;2-F CAS PubMed Web of Science® Google Scholar
- 50H. Piper, Electrophysiologie. Menschlicher Muskeln, Berlin: Springer Verlag, 1912.
- 51A. Rainoldi, G. Galardi, L. Maderna, G. Comi, L. R. Lo Conte, and R. Merletti, Repeatability of surface EMG variables during voluntary isometric contractions of the biceps brachii muscle. J. Electromyogr. Kinesiol. 1999; 9: 105–119.
- 52A. Rainoldi, J. E. Bullock-Saxton, F. Cavarretta, and N. Hogan, Repeatability of maximal voluntary force and of surface EMG variables during voluntary contraction of quadriceps muscles in healthy subjects. J. Electrom. Kinesiol. 2001; 11: 425–438.
- 53T. Sadoyama, T. Masuda, H. Miyata, and S. Katsuta, Fiber conduction velocity and fiber composition in human vastus lateralis. Eur. J. Appl. Physiol. 1988; 57: 767–771.
- 54J. H. van Dieen and P. Heijblom, Reproducibility of isometric trunk extension torque, trunk extensor endurance, and related electromyographic parameters in the context of their clinical applicability. J. Orthop. Res. 1996; 14: 139–143.
- 55K. B. Veiersted, The reproducibility of test contractions for calibration of electromyographic measurements. Eur. J. Appl. Physiol. Occup. Physiol. 1991; 62: 91–98.
- 56R. H. Westgaard and C. J. DeLuca, Motor unit substitution in long-duration contractions of the human trapezius muscle. J. Neurophysiol. 1999; 82: 501–504.
- 57M. J. Zwarts, Evaluation of the estimation of muscle fiber conduction velocity. Surface versus needle method. Electroencephalogr. Clin. Neurophysiol. 1989; 73: 544–548.