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Muscle-related differences in mechanomyography frequency–force relationships are model dependent

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Abstract

The purpose of this study was to examine the surface mechanomyographic mean power frequency (MMG MPF)–force relationships with linear regression models applied to the absolute and log-transformed values for the first dorsal interosseous (FDI), vastus lateralis (VL) and rectus femoris (RF) muscles. Thirteen healthy males performed isometric ramp contractions of the leg extensors and index finger from 10 to 80 % of their maximal voluntary contraction with MMG sensors positioned on the VL, RF, and FDI. Simple linear regression models were fit to the absolute and log-transformed MMG MPF–force relationships. Skinfold thickness measurements were taken at each sensor site. There were significant differences for the slopes from the log-transformed MMG MPF–force relationships between the FDI and the leg extensors (P < 0.001) but not the absolute model (P = 0.168). The Y-intercepts were greater for the FDI than the leg extensors for the absolute (P < 0.001) and log-transformed models (P < 0.001), which reflected similar muscle-related differences (P < 0.001) for skinfold thickness. However, there were no significant correlations between Y-intercepts and skinfold thicknesses. Differences in the patterns of response between the FDI and leg extensors were only quantified with the log-transformed model.

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References

  1. Akataki K, Mita K, Watakabe M, Itoh K (2001) Mechanomyogram and force relationship during voluntary isometric ramp contractions of the biceps brachii muscle. Eur J Appl Physiol 84:19–25

    Article  CAS  PubMed  Google Scholar 

  2. Akataki K, Mita K, Watakabe M, Itoh K (2003) Mechanomyographic responses during voluntary ramp contractions of the human first dorsal interosseous muscle. Eur J Appl Physiol 89:520–525

    Article  PubMed  Google Scholar 

  3. Akataki K, Mita K, Watakabe M (2004) Electromyographic and mechanomyographic estimation of motor unit activation strategy in voluntary force production. Electromyogr Clin Neurophysiol 44:489–496

    CAS  PubMed  Google Scholar 

  4. Barry DT, Cole NM (1990) Muscle sounds are emitted at the resonant frequencies of skeletal muscle. IEEE Trans Biomed Eng 37:525–531

    Article  CAS  PubMed  Google Scholar 

  5. Beck TW, Housh TJ, Johnson GO, Weir JP, Cramer JT, Coburn JW, Malek MH (2004) Mechanomyographic amplitude and mean power frequency versus torque relationships during isokinetic and isometric muscle actions of the biceps brachii. J Electromyogr Kinesiol 14:555–564

    Article  PubMed  Google Scholar 

  6. Beck TW, Housh TJ, Johnson GO, Weir JP, Cramer JT, Coburn JW, Malek MH (2004) Mechanomyographic and electromyographic time and frequency domain responses during submaximal to maximal isokinetic muscle actions of the biceps brachii. Eur J Appl Physiol 92:352–359

    Article  PubMed  Google Scholar 

  7. Beck TW, Housh TJ, Johnson GO, Cramer JT, Weir JP, Coburn JW, Malek MH (2007) Does the frequency content of the surface mechanomyographic signal reflect motor unit firing rates? A brief review. J Electromyogr Kinesiol 17:1–13

    Article  PubMed  Google Scholar 

  8. Beck TW, DeFreitas JM, Stock MS (2010) An examination of cross-talk among surface mechanomyographic signals from the superficial quadriceps femoris muscles during isometric muscle actions. Hum Mov Sci 29:165–171

    Article  PubMed  Google Scholar 

  9. Coburn JW, Housh TJ, Cramer JT, Weir JP, Miller JM, Beck TW, Malek MH, Johnson GO (2004) Mechanomyographic time and frequency domain responses of the vastus medialis muscle during submaximal to maximal isometric and isokinetic muscle actions. Electromyogr Clin Neurophysiol 44:247–255

    CAS  PubMed  Google Scholar 

  10. Coburn JW, Housh TJ, Cramer JT, Weir JP, Miller JM, Beck TW, Malek MH, Johnson GO (2005) Mechanomyographic and electromyographic responses of the vastus medialis muscle during isometric and concentric muscle actions. J Strength Cond Res 19:412–420

    PubMed  Google Scholar 

  11. Cooper MA, Herda TJ (2013) Muscle related differences in the MMG-force relationships are model dependent. Muscle Nerve 34(10):202–208

    Google Scholar 

  12. Cramer JT, Housh TJ, Johnson GO, Ebersole KT, Perry SR, Bull AJ (2000) Mechanomyographic amplitude and mean power output during maximal, concentric, isokinetic muscle actions. Muscle Nerve 23:1826–1831

    Article  CAS  PubMed  Google Scholar 

  13. De Luca CJ, Hostage EC (2010) Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions. J Neurophysiol 104:1034–1046

    Article  PubMed Central  PubMed  Google Scholar 

  14. De Luca CJ, LeFever RS, McCue MP, Xenakis AP (1982) Behaviour of human motor units in different muscles during linearly varying contractions. J Physiol 329:113–128

    Article  PubMed Central  PubMed  Google Scholar 

  15. Farina D, Merletti R, Enoka RM (2004) The extraction of neural strategies from the surface EMG. J Appl Physiol 96:1486–1495

    Article  PubMed  Google Scholar 

  16. Herda TJ, Cooper MA (2013) Electromyographic, but not mechanomyographic amplitude-force relationships, distinguished differences in voluntary activation capabilities between individuals. J Electromyogr Kinesiol 23(2):356–361

    Article  PubMed  Google Scholar 

  17. Herda TJ, Housh TJ, Weir JP, Ryan ED, Costa PB, Defreitas JM, Walter AA, Stout JR, Beck TW, Cramer JT (2009) The consistency of ordinary least-squares and generalized least-squares polynomial regression on characterizing the mechanomyographic amplitude versus torque relationship. Physiol Meas 30:115–128

    Article  PubMed  Google Scholar 

  18. Herda TJ, Weir JP, Ryan ED, Walter AA, Costa PB, Hoge KM, Beck TW, Stout JR, Cramer JT (2009) Reliability of absolute versus log-transformed regression models for examining the torque-related patterns of response for mechanomyographic amplitude. J Neurosci Methods 179:240–246

    Article  PubMed  Google Scholar 

  19. Herda TJ, Housh TJ, Fry AC, Weir JP, Schilling BK, Ryan ED, Cramer JT (2010) A noninvasive, log-transform method for fiber type discrimination using mechanomyography. J Electromyogr Kinesiol 20:787–794

    Article  PubMed  Google Scholar 

  20. Herda TJ, Walter AA, Costa PB, Ryan ED, Stout JR, Cramer JT (2011) Differences in the log-transformed electromyographic-force relationships of the plantar flexors between high—and moderate-activated subjects. J Electromyogr Kinesiol 21:841–846

    Article  PubMed  Google Scholar 

  21. Jackson AS, Pollock ML (1985) Practical assessment of body-composition. Physician Sportsmed 13:76–90

    Google Scholar 

  22. Jaskolska A, Brzenczek W, Kisiel-Sajewicz K, Kawczynski A, Marusiak J, Jaskolski A (2004) The effect of skinfold on frequency of human muscle mechanomyogram. J Electromyogr Kinesiol 14:217–225

    Article  PubMed  Google Scholar 

  23. Krishnan C, Allen EJ, Williams GN (2011) Effect of knee position on quadriceps muscle force steadiness and activation strategies. Muscle Nerve 43:563–573

    Article  PubMed Central  PubMed  Google Scholar 

  24. Kukulka CG, Clamann HP (1981) Comparison of the recruitment and discharge properties of motor units in human brachial biceps and adductor pollicis during isometric contractions. Brain Res 219:45–55

    Article  CAS  PubMed  Google Scholar 

  25. Madeleine P, Bajaj P, Sogaard K, Arendt-Nielsen L (2001) Mechanomyography and electromyography force relationships during concentric, isometric and eccentric contractions. J Electromyogr Kinesiol 11:113–121

    Article  CAS  PubMed  Google Scholar 

  26. Orizio C (1993) Muscle sound: bases for the introduction of a mechanomyographic signal in muscle studies. Crit Rev Biomed Eng 21:201–243

    CAS  PubMed  Google Scholar 

  27. Orizio C, Perini R, Veicsteinas A (1989) Muscular sound and force relationship during isometric contraction in man. Eur J Appl Physiol Occup Physiol 58:528–533

    Article  CAS  PubMed  Google Scholar 

  28. Orizio C, Liberati D, Locatelli C, De Grandis D, Veicsteinas A (1996) Surface mechanomyogram reflects muscle fibres twitches summation. J Biomech 29:475–481

    Article  CAS  PubMed  Google Scholar 

  29. Orizio C, Gobbo M, Diemont B, Esposito F, Veicsteinas A (2003) The surface mechanomyogram as a tool to describe the influence of fatigue on biceps brachii motor unit activation strategy. Historical basis and novel evidence. Eur J Appl Physiol 90:326–336

    Article  PubMed  Google Scholar 

  30. Ryan ED, Cramer JT, Housh TJ, Beck TW, Herda TJ, Hartman MJ (2007) Inter-individual variability in the torque-related patterns of responses for mechanomyographic amplitude and mean power frequency. J Neurosci Methods 161:212–219

    Article  PubMed  Google Scholar 

  31. Ryan ED, Cramer JT, Housh TJ, Beck TW, Herda TJ, Hartman MJ, Stout JR (2007) Inter-individual variability among the mechanomyographic and electromyographic amplitude and mean power frequency responses during isometric ramp muscle actions. Electromyogr Clin Neurophysiol 47:161–173

    CAS  PubMed  Google Scholar 

  32. Ryan ED, Beck TW, Herda TJ, Hartman MJ, Stout JR, Housh TJ, Cramer JT (2008) Mechanomyographic amplitude and mean power frequency responses during isometric ramp vs. step muscle actions. J Neurosci Methods 168:293–305

    Article  PubMed  Google Scholar 

  33. Ryan ED, Cramer JT, Egan AD, Hartman MJ, Herda TJ (2008) Time and frequency domain responses of the mechanomyogram and electromyogram during isometric ramp contractions: a comparison of the short-time Fourier and continuous wavelet transforms. J Electromyogr Kinesiol 18:54–67

    Article  PubMed  Google Scholar 

  34. Zwarts MJ, Keidel M (1991) Relationship between electrical and vibratory output of muscle during voluntary contraction and fatigue. Muscle Nerve 14:756–761

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

New Faculty General Research Fund, University of Kansas, Lawrence, KS.

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  1. Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Ave, Room 101BE, Lawrence, KS, 66045, USA

    Trent J. Herda & Michael A. Cooper

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Correspondence to Trent J. Herda.

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Herda, T.J., Cooper, M.A. Muscle-related differences in mechanomyography frequency–force relationships are model dependent. Med Biol Eng Comput 53, 689–697 (2015). https://doi.org/10.1007/s11517-015-1261-3

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  • DOI: https://doi.org/10.1007/s11517-015-1261-3

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