The influence of confounding factors on the relationship between muscle contraction level and MF and MPF values of EMG signal: a review

References

• Botter A, Lanfranco F, Merletti R, et al. Myoelectric fatigue profiles of three knee extensor muscles. Int J Sports Med. 2009;30(6):408–417. doi: 10.1055/s-0028-1112142
   PubMed Web of Science ®Google Scholar
• Farina D, Merletti R. Methods for estimating muscle fibre conduction velocity from surface electromyographic signals. Med Biol Eng Comput. 2004;42(4):432–445. doi: 10.1007/BF02350984
   PubMed Web of Science ®Google Scholar
• Farina D, Fosci M, Merletti R. Motor unit recruitment strategies investigated by surface EMG variables. Eur J Appl Physiol. 2002;92:235–47.
   Web of Science ®Google Scholar
• Kellis E, Katis A. Reliability of EMG power-spectrum and amplitude of the semitendinosus and biceps femoris muscles during ramp isometric contractions. J Electromyogr Kinesiol. 2008;18(3):351–358. doi: 10.1016/j.jelekin.2006.12.001
   PubMed Web of Science ®Google Scholar
• Cechetto AD, Parker PA, Scott RN. The effects of four time-varying factors on the mean frequency of a myoelectric signal. J Electromyogr Kinesiol. 2001;11:347–354. doi: 10.1016/S1050-6411(01)00010-4
   PubMed Web of Science ®Google Scholar
• Krivickas LS, Nadler SF, Petroski GF, et al. Spectral analysis during fatigue. Surface and fine wire electrode comparison. Am J Med Rehabil. 1996;75(1):15–20.
   PubMed Web of Science ®Google Scholar
• Bilodeau M, Arsenault AB, Gravel D, et al. The influence of an increase in the level of force on the EMG power spectrum of elbow extensors. Eur J Appl Physiol Occup Physiol. 1990;61(5–6):461–466. doi: 10.1007/BF00236068
   PubMed Web of Science ®Google Scholar
• Onishi H, Yagi R, Akasaka K, et al. Relationship between EMG signals and force In human vastus lateralis muscle rusing multiple bipolar wire electrodes. J Electromyogr Kinesiol. 2000;10:59–67. doi: 10.1016/S1050-6411(99)00020-6
   PubMed Web of Science ®Google Scholar
• Bilodeau M, Schindler-Ivens S, Williams DM, et al. EMG frequency content changes with increasing force and during fatigue in the quadriceps femoris muscle of men and women. J Electromyogr Kinesiol. 2003;13(1):83–92. doi: 10.1016/S1050-6411(02)00050-0
   PubMed Web of Science ®Google Scholar
• Esposito F. Malgrati D, Veicsteinas A, et al. Time and frequency domain analysis of electromyogram and sound myogram in the elderly. Eur J Appl Physiol. 1996;73:503–510. doi: 10.1007/BF00357671
   PubMed Web of Science ®Google Scholar
• Bilodeau M, Arsenault AB, Gravel D, et al. EMG power spectra of elbow extensors during ramp and step isometric contractions. Eur J Appl Physiol Occup Physiol. 1991;63(1):24–28. doi: 10.1007/BF00760796
   PubMed Web of Science ®Google Scholar
• Esposito F, Ce E, Gobbo M, et al. Surface EMG and mechanomyogram disclose isokinetic training effects on quadriceps muscle in elderly people. Eur J Appl Physiol. 2005;94:549–557. doi: 10.1007/s00421-005-1371-y
   PubMed Web of Science ®Google Scholar
• Bernardi M, Solomonow M, Nguyen G, et al. Motor unit recruitment strategy changes with skill acquisition. Eur J Appl Physiol Occup Physiol. 1996;74(1–2):52–59. doi: 10.1007/BF00376494
   PubMed Web of Science ®Google Scholar
• Bilodeau M, Arsenault AB, Gravel D, et al. EMG power spectrum of elbow extensors: a reliability study. Electromyogr and Clin Neurophysiol. 1994;34:149–158.
   PubMedGoogle Scholar
• Bilodeau M, Cincerea M, Gervais S, et al. Changes in the electromyographic spectrum power distribution caused by a progressive increase in the force level. Eur J Appl Physiol. 1995;71:113–123. doi: 10.1007/BF00854967
   Web of Science ®Google Scholar
• Petrofsky J, Laymon M. Muscle temperature and EMG amplitude and frequency during isometric exercise. Aviat Space Environ Med. 2005;76:1024–1030.
   PubMedGoogle Scholar
• Rainoldi A, Galardi G, Maderna L, et al. Repeatability of surface EMG variables during voluntary isometric contractions of the biceps brachii muscle. J Electromyogr Kinesiol. 1999;9:105–119. doi: 10.1016/S1050-6411(98)00042-X
   PubMed Web of Science ®Google Scholar
• Kaplanis PA, Pattichis CS, Hadjileontiadis LJ, et al. Surface EMG analysis on normal subjects based on isometric voluntary contraction. J Electromyogr Kinesiol. 2009;19:157–171. doi: 10.1016/j.jelekin.2007.03.010
   PubMed Web of Science ®Google Scholar
• Roman-Liu D, Konarska M. Characteristics of power spectrum density function of EMG during muscle contraction below 30%MVC. J Electromyogr Kinesiol. 2009;19(5):864–874. doi: 10.1016/j.jelekin.2008.05.002
   PubMed Web of Science ®Google Scholar
• Inbar GF, Allin J, Paiss O, et al. Monitoring surface EMG spectral changes by the zero crossing rate. Med Biol Eng Comput. 1986;24(1):10–18. doi: 10.1007/BF02441600
   PubMed Web of Science ®Google Scholar
• Arjunan S, Kumar D, Kalra C, et al. Effect of age and gender on the surface electromyogram during various levels of isometric contraction. 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA. August 30 – September 3, 2011.
   Google Scholar
• De Luca DJ, Sabbahi MA, Roy SH. Median frequency of the myoelectric signal. Eur J App Physil. 1986;55:457–464. doi: 10.1007/BF00421637
   PubMed Web of Science ®Google Scholar
• Gelli F, Del Santo F, Popa T, et al. Factors influencing the relation between corticospinal output and muscle force during voluntary contractions. Eur J Neurosci. 2007;25(11):3469–3475. doi: 10.1111/j.1460-9568.2007.05590.x
   PubMed Web of Science ®Google Scholar
• Beck TW, Housh TJ, Johnson GO, et al. Comparison o Fourier and wavelet transform procedures for examining the mechanomyographic and electromyographic frequency. Electromyogr Clin Neurophysiol. 2005;45:93–103.
   PubMedGoogle Scholar
• Bilodeau M, Arsenaut AB, Gravel D, et al. Influence of gender on the EMG power spectrum during an increasing force level. J Electromyogr Kinesiol. 1992;2:121–129. doi: 10.1016/1050-6411(92)90009-8
   PubMed Web of Science ®Google Scholar
• Gabriel DA, Kamen G. Experimental and modeling investigation of spectral compression of biceps brachii SEMG activity with increasing force levels. J Electromyogr Kinesiol. 2009;19:437–448. doi: 10.1016/j.jelekin.2007.10.009
   PubMed Web of Science ®Google Scholar
• Cescon C, Sguazzi E, Merletti R, et al. Non-invasive characterization of single motor unit electromyographic and mechanomyographic activities in the biceps brachii muscle. J Electromyogr Kinesiol. 2006;16(1):17–24. doi: 10.1016/j.jelekin.2005.02.005
   PubMed Web of Science ®Google Scholar
• Ollivier K, Portero P, Maisetti O, et al. Repeatability of surface EMG parameters at various isometric contraction levels and during fatigue using bipolar and laplacian electrode configurations. J Electromyogr Kinesol. 2005;15:466–473. doi: 10.1016/j.jelekin.2005.01.004
   PubMed Web of Science ®Google Scholar
• Gerdle B, Eriksson NE, Brundin L. The behaviour of the mean power frequency of the surface electromyogram in biceps brachii with increasing force and during fatigue. With special regard to the electrode distance. Electromyogr Clin Neurophysiol. 1990;30(8):483–489.
   PubMedGoogle Scholar
• Linnamo V, Strojnik V, Komi PV. Electromyogram power spectrum and features of the superimposed maximal M-wave during voluntary isometric actions in humans at different activation levels. Eur J Appl Physiol. 2001;86(1):28–33. doi: 10.1007/s004210100462
   PubMed Web of Science ®Google Scholar
• Mathur S, Eng JJ, MacIntyre DL. Reliability of surface EMG during sustained contractions of the quadriceps. J Electromyogr Kinesiol. 2005;15:102–110. doi: 10.1016/j.jelekin.2004.06.003
   PubMed Web of Science ®Google Scholar
• Pincivero DM, Campy R, Salfetnicov Y, et al. Influence of contraction intensity, muscle, and gender on median frequency of the quadriceps femoris. J Appl Physiol. 2001;90:804–810.
   PubMed Web of Science ®Google Scholar
• Mulder ER, Gerrits KHL, Kleine BU, et al. High-density surface EMG study on the time course of central nervous and peripheral neuromuscular changes during 8 weeks of bed rest with or without resistive vibration exercise. J Electromyogr Kinesiol. 2009;19:208–218. doi: 10.1016/j.jelekin.2007.04.002
   PubMed Web of Science ®Google Scholar
• Ricard MD, Ugrinowitsch C, Parcell AC, et al. Effects of rate of force development on EMG amplitude and frequency. Int J Sports Med. 2005;26(1):66–70. doi: 10.1055/s-2004-817856
   PubMed Web of Science ®Google Scholar
• Cioni R, Giannini F, Paradiso C, et al. Sex differences in surface EMG interference pattern power spectrum. J Appl Physiol. 1994;77(5):2163–2168.
   PubMed Web of Science ®Google Scholar
• Spairani L, Barbero M, Cescon C, et al. An electromyographic study of the vastii muscles during open and closed kinetic chain submaximal isometric exercises. Int J Sports Phys Ther. 2012;7(6):617–626.
   PubMedGoogle Scholar
• Blijham PJ, ter Laak HJ, et al. Relation between muscle fiber conduction velocity and fiber size in neuromuscular disorders. J Appl Physiol. 2006;100:1837–1841. doi: 10.1152/japplphysiol.01009.2005
   PubMed Web of Science ®Google Scholar
• Masuda T, De Luca CJ. Recruitment threshold and muscle fiber conduction velocity of single motor units. J Electromyogr Kinesiol. 1991;1(2):116–123. doi: 10.1016/1050-6411(91)90005-P
   PubMed Web of Science ®Google Scholar
• Moritz CT, Barry BK, Pascoe MA, et al. Discharge rate variability influences the variation in force fluctuations across the working range of a hand muscle. J Neurophysiol. 2005;93(5):2449–2459. doi: 10.1152/jn.01122.2004
   PubMed Web of Science ®Google Scholar
• Alway SE, MacDougall JD, Sale DG, et al. Functional and structural adaptations in skeletal muscle of trained athletes. J Appl Physiol. 1988;64(3):1114–1120.
   PubMed Web of Science ®Google Scholar
• Jaworowski A, Porter MM, Holmbäck AM, et al. Enzyme activities in the tibialis anterior muscle of young moderately active men and women: relationship with body composition, muscle cross-sectional area and fibre type composition. Acta Physiol Scand. 2002;176(3):215–225. doi: 10.1046/j.1365-201X.2002.t01-2-01004.x
   PubMedGoogle Scholar
• Kent-Braun JA, NG AV. Skeletal muscle contractile and non-contractile components in young and older women and men. J Appl Physiol. 2000;88:662–668.
   PubMed Web of Science ®Google Scholar
• Porter MM, Vandervoort AA, Lexel J. Aging of human muscle: structure, function and adaptability. Scand J Med Sci Sports. 1995;5:129–142. doi: 10.1111/j.1600-0838.1995.tb00026.x
   PubMedGoogle Scholar
• Minetto MA, Botter A, Šprager S, et al. Feasibility study of detecting surface electromyograms in severely obese patients. J Electromyogr Kinesiol. 2013;23(2):285–295. doi: 10.1016/j.jelekin.2012.09.008
   PubMed Web of Science ®Google Scholar
• Linnamo V, Strojnik V, Komi PV. Maximal force during eccentric and isometric actions at different elbow angles. Eur J Appl Physiol. 2006;96:672–678. doi: 10.1007/s00421-005-0129-x
   PubMed Web of Science ®Google Scholar
• Elfving B, Liljequist D, Mattsson E, et al. Influence of interelectrode distance and force level on the spectral parameters of surface electromyographic recordings from the lumbar muscles. J Electromyogr Kinesiol. 2002;12(4):295–304. doi: 10.1016/S1050-6411(02)00027-5
   PubMed Web of Science ®Google Scholar
• Prats-Boluda GJ, Garcia-Casado JL, Martinez-de-Juan JL, et al. Active concentric ring electrode for non-invasive detection of intestinal myoelectric signals. Med Eng Phys. 2011;33(4):446–455. doi: 10.1016/j.medengphy.2010.11.009
   PubMed Web of Science ®Google Scholar
• Beck TW, Housh TJ, Mielke M, et al. The influence of electrode placement over the innervation zone on electromyographic amplitude and mean power frequency versus isokinetic torque relationships. J Neurosci Methods. 2007;162:72–83. doi: 10.1016/j.jneumeth.2006.12.009
   PubMed Web of Science ®Google Scholar
• Bilodeau M, Cincera M, Arsenault AB, et al. Normality and stationarity of EMG signals of elbow flexor muscle during ramp and step isometric contractions. J Electromyogr Kinesiol. 1997;7:87–96. doi: 10.1016/S1050-6411(96)00024-7
   PubMed Web of Science ®Google Scholar