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Quadriceps muscles vastus medialis obliques, rectus femoris and vastus lateralis compared via electromyogram bicoherence analysis

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Abstract

Bicoherence analysis is applied to electromyogram (EMG) data for vastus medialis obliques (VM), rectus femoris (RF) and vastus lateralis (VL) quadriceps muscles of 18 adult male subjects for isometric knee extension exercise. Mean average bicoherence for VM, RF and VL is 30.9±5.8, 26.0±1.2 and 25.4±1.4% respectively and repeated measures ANOVA differentiates the muscles on the basis of average bicoherence (F=16.2 (1, 17),p=0.0009, VM cf. VL andF=15.4 (1, 17),p=0.0011, VM cf. RF). Prominent regions representative of strong second-order phase coupling between constituent EMG frequencies are identified within VM and RF bicoherence spectra. No such prominent regions are identified for VL which is thought to be less activated than VM during the specified task. Hence, the degree of second-order phase coupling may increase as the level of muscle activation increases. The subject group consists of young (24.0±0.9 years) and elderly (68.9±0.9 years) subgroups that cannot be differentiated by standard indices (median and spectral edge frequency) to withinp<0.05 using the Mann-Whitney test. Average bicoherence differentiates the subgroups for RF (T=9 (8,10),p<0.005) but not for VM or VL. The application of a bicoherence threshold that takes harmonic amplitude into account graphically differentiates the subgroups for all muscle types. The findings suggest that nonlinear processes play a role within the EMG generation process and support a mechanomyogram bicoherence analysis study that shows nonlinear processes occur within active muscle fibre twitch summation patterns. A potential exists for bicoherence analysis to complement standard EMG frequency analysis techniques.

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References

  1. Barnett, T., Johnson, L.C., Naitoh, P., Hicks, N. and Nute, C.,Bispectrum analysis of electroencephalogram signals during waking and sleeping, Science. 172: 401–402, 1971.

    Article  CAS  PubMed  Google Scholar 

  2. Ning, T. and Bronzino, J. D.,Autoregressive and bispectral analysis techniques: EEG applications, IEEE Eng. Med. Biol. March: 47–50, 1990.

    Article  Google Scholar 

  3. Sigl, J. C. and Chamoun, N. G.,An introduction to bispectral analysis for the electroencephalogram, J. Clin. Monit. 10: 392–404, 1994.

    Article  CAS  PubMed  Google Scholar 

  4. Lipton, J. M., Dabke, K. P., Alison, J. F., Cheng, H., Yates, L. and Brown, T. I. H.,Use of the bispectrum to analyse properties of the human electrocardiograph, Austral. Phys. Eng. Sci. Med. 21: 1–10, 1998.

    CAS  Google Scholar 

  5. Muthuswamy, J., Sherman, D. L., and Thakor, N. V.,Higherorder spectral analysis of burst patterns in EEG, IEEE Trans. Biomed. Eng. 46: 92–99, 1999.

    Article  CAS  PubMed  Google Scholar 

  6. Nahm, W., Stockmanns, G., Petersen, J., Gehring, H., Konecny, E., Kochs, H. D. and Kochs, E.,Concept for an intelligent anaesthesia EEG monitor, Medical Informatics. 24: 1–9, 1999.

    Article  CAS  Google Scholar 

  7. Schack, B., White, H., Helbig, M., Schelenz, Ch. and Specht, M.,Time-variant non-linear phase-coupling analysis of EEG burst patters in sedated patients during electroencephalic burst suppression period, Clin. Neurophysiol. 112: 1388–1399, 2001.

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  9. Simeoni, R. J. and Mills, P. M.,Bicoherence analysis of quadriceps electromyogram during isometric knee extension, Austral. Phys. Eng. Sci. Med. 26: 12–17, 2003.

    Article  CAS  Google Scholar 

  10. Hanten, W. P. and Schulties, S. S.,Exercise effect on electromyographic activity of the vastus lateralis muscle, Phys. Ther. 70: 561–565, 1990.

    CAS  PubMed  Google Scholar 

  11. Hungerford, D. S. and Barry, M.,Biomechanics of the patellofemoral joint, Clin. Orthop. 144: 9–15, 1979.

    PubMed  Google Scholar 

  12. King, A.C., Ahiles, T. A., Martin, J. E. and White, R.,EMG biofeedback-controlled exercise in chronic arthritic knee pain, Arch. Phys. Med. Rehabil. 65: 341–343, 1984.

    CAS  PubMed  Google Scholar 

  13. LeVeau, B. F. and Rogers, C.,Selective training of the vastus medialis muscle using EMG feedback, Phys. Ther. 60: 1410–1415, 1980.

    CAS  PubMed  Google Scholar 

  14. Soderberg, G. and Cook, T.,An electromyographic analysis of quadriceps femoris muscle setting and straight leg exercises, Clin. Orthop. 63: 1434–1438, 1983.

    CAS  Google Scholar 

  15. Grabiner, M. D., Koh, T. J. and Draganich, L. F.,Neuromechanics of the patellofemoral joint, Med. Sci. Sports. Exerc. 26: 10–21, 1994.

    CAS  PubMed  Google Scholar 

  16. Cowan, S.M., Bennell, K.B., Hodges, P.W., Crossley, K.M. and McConnell, J.,Delayed onset of electromyographic activity of vastus medialis obliques relative to vastus lateralis in subjects with patellofemoral pain syndrome, Arch. Phys. Med. Rehabil. 82: 183–189, 2001.

    Article  CAS  PubMed  Google Scholar 

  17. Enoka, R. M.,Neuromechanical basis of kinesiology, 2nd ed., Human Kinetics, Champaign, Illinois, 168–170, 1994.

    Google Scholar 

  18. Stalberg, E. and Fawcett, P.R.,Macro EMG in healthy subjects of different ages, J. Neurol. Neurosurg. Psychiatry. 45: 870–878, 1982.

    Article  CAS  PubMed  Google Scholar 

  19. Mills, P. and Barrett, R.,Anterior-posterior contact velocity during normal walking is greater in elderly than young men, Proceedings of the 3rd Australasian Biomechanics Conference. Griffith University. January/February: 61–62, 2000.

  20. Popivanov, D. and Mineva, A.,Testing procedures for non-stationarity and non-linearity in physiological signals, Mathematical Biosciences. 157: 303–320, 1999.

    Article  CAS  PubMed  Google Scholar 

  21. Harris, F. J.,On the use of windows for harmonic analysis with the discrete Fourier transform, Proc. of the IEEE. 66: 51–83, 1978.

    Article  Google Scholar 

  22. 22. De Luca, C. J.,The use of surface electromyography in biomechanics, J. App. Biomech. 13: 135–163, 1997.

    Google Scholar 

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Simeoni, R.J., Mills, P.M. Quadriceps muscles vastus medialis obliques, rectus femoris and vastus lateralis compared via electromyogram bicoherence analysis. Australas. Phys. Eng. Sci. Med. 26, 125–131 (2003). https://doi.org/10.1007/BF03178782

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