Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2016, Article ID 7159701, 6 pages
http://dx.doi.org/10.1155/2016/7159701
Research Article

Age-Associated Changes in the Spectral and Statistical Parameters of Surface Electromyogram of Tibialis Anterior

Biosignals Lab, Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3000, Australia

Received 26 May 2016; Revised 15 July 2016; Accepted 19 July 2016

Academic Editor: Maria Knikou

Copyright © 2016 Ariba Siddiqi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. C. Perry, S. F. Carville, I. C. H. Smith, O. M. Rutherford, and D. J. Newham, “Strength, power output and symmetry of leg muscles: effect of age and history of falling,” European Journal of Applied Physiology, vol. 100, no. 5, pp. 553–561, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. C. J. McNeil, T. J. Doherty, D. W. Stashuk, and C. L. Rice, “Motor unit number estimates in the tibialis anterior muscle of young, old, and very old men,” Muscle and Nerve, vol. 31, no. 4, pp. 461–467, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. M. R. Deschenes, “Motor unit and neuromuscular junction remodeling with aging,” Current Aging Science, vol. 4, no. 3, pp. 209–220, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. A. I. Meigal, S. Rissanen, M. P. Tarvainen et al., “Novel parameters of surface EMG in patients with Parkinson's disease and healthy young and old controls,” Journal of Electromyography and Kinesiology, vol. 19, no. 3, pp. e206–e213, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. S. P. Arjunan, K. Wheeler, H. Shimada, and D. K. Kumar, “Age related changes in the complexity of surface EMG in biceps: a model based study,” in Proceedings of the in Biosignals and Biorobotics Conference (BRC '13), pp. 1–4, Rio de Janerio, Brazil, February 2013. View at Publisher · View at Google Scholar
  6. S. P. Arjunan, D. K. Kumar, K. Wheeler, H. Shimada, and A. Siddiqi, “Effect of number of motor units and muscle fibre type on surface electromyogram,” Medical & Biological Engineering & Computing, vol. 54, no. 4, pp. 575–582, 2016. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Disselhorst-Klug, J. Silny, and G. Rau, “Estimation of the relationship between the noninvasively detected activity of single motor units and their characteristic pathological changes by modelling,” Journal of Electromyography and Kinesiology, vol. 8, no. 5, pp. 323–335, 1998. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. Zhao and D. Li, “A simulation study on the relation between muscle motor unit numbers and the non-Gaussianity/non-linearity levels of surface electromyography,” Science China Life Sciences, vol. 55, no. 11, pp. 958–967, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. P. A. Kaplanis, C. S. Pattichis, L. J. Hadjileontiadis, and V. C. Roberts, “Surface EMG analysis on normal subjects based on isometric voluntary contraction,” Journal of Electromyography and Kinesiology, vol. 19, no. 1, pp. 157–171, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Bilodeau, M. Cincera, A. B. Arsenault, and D. Gravel, “Normality and stationarity of EMG signals of elbow flexor muscles during ramp and step isometric contractions,” Journal of Electromyography and Kinesiology, vol. 7, no. 2, pp. 87–96, 1997. View at Publisher · View at Google Scholar · View at Scopus
  11. K. Nazarpour, A. R. Sharafat, and S. M. P. Firoozabadi, “Application of higher order statistics to surface electromyogram signal classification,” IEEE Transactions on Biomedical Engineering, vol. 54, no. 10, pp. 1762–1769, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Siddiqi, D. Kumar, and S. Arjunan, “Age-related motor unit remodeling in the Tibialis Anterior,” in Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '15), pp. 6090–6093, Milan, Italy, August 2015. View at Publisher · View at Google Scholar · View at Scopus
  13. B. W. Fling, C. A. Knight, and G. Kamen, “Relationships between motor unit size and recruitment threshold in older adults: implications for size principle,” Experimental Brain Research, vol. 197, no. 2, pp. 125–133, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. D. Farina, R. Merletti, and R. M. Enoka, “The extraction of neural strategies from the surface EMG,” Journal of Applied Physiology, vol. 96, no. 4, pp. 1486–1495, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. A. V. Ng and J. A. Kent-Braun, “Slowed muscle contractile properties are not associated with a decreased EMG/force relationship in older humans,” The Journals of Gerontology—Series A: Biological Sciences and Medical Sciences, vol. 54, no. 10, pp. B452–B458, 1999. View at Publisher · View at Google Scholar · View at Scopus
  16. A. Siddiqi, S. P. Arjunan, and D. K. Kumar, “Improvement of isometric dorsiflexion protocol for assessment of tibialis anterior muscle strength,” MethodsX, vol. 2, pp. 107–111, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. Recommendations for sensor locations in lower leg or foot muscles, Surface electromyography for the non-invasive assessment of muscles, http://seniam.org/.
  18. R. Istenič, P. A. Kaplanis, C. S. Pattichis, and D. Zazula, “Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders,” Medical and Biological Engineering and Computing, vol. 48, no. 8, pp. 773–781, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. G. R. Naik and D. K. Kumar, “Evaluation of higher order statistics parameters for multi channel sEMG using different force levels,” Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11), vol. 2011, pp. 3869–3872, 2011. View at Google Scholar · View at Scopus
  20. E. Orosco, P. Diez, E. Laciar, V. Mut, C. Soria, and F. Di Sciascio, “On the use of high-order cumulant and bispectrum for muscular-activity detection,” Biomedical Signal Processing and Control, vol. 18, pp. 325–333, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. E. C. Orosco, N. M. Lopez, and F. di Sciascio, “Bispectrum-based features classification for myoelectric control,” Biomedical Signal Processing and Control, vol. 8, no. 2, pp. 153–168, 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. M. J. Hinich, “Testing for Gaussianity and linearity of a stationary time series,” Journal of Time Series Analysis, vol. 3, no. 3, pp. 169–176, 1982. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  23. R. Merletti, S. H. Roy, E. Kupa, S. Roatta, and A. Granata, “Modeling of surface myoelectric signals. II. Model-based signal interpretation,” IEEE Transactions on Biomedical Engineering, vol. 46, no. 7, pp. 821–829, 1999. View at Publisher · View at Google Scholar · View at Scopus
  24. B. L. Tracy and R. M. Enoka, “Older adults are less steady during submaximal isometric contractions with the knee extensor muscles,” Journal of Applied Physiology, vol. 92, no. 3, pp. 1004–1012, 2002. View at Publisher · View at Google Scholar · View at Scopus
  25. D. Farina, R. Merletti, and R. M. Enoka, “The extraction of neural strategies from the surface EMG: an update,” Journal of Applied Physiology, vol. 117, no. 11, pp. 1215–1230, 2014. View at Publisher · View at Google Scholar · View at Scopus
  26. G. F. Inbar, O. Paiss, J. Allin, and H. Kranz, “Monitoring surface EMG spectral changes by the zero crossing rate,” Medical & Biological Engineering & Computing, vol. 24, no. 1, pp. 10–18, 1986. View at Publisher · View at Google Scholar · View at Scopus
  27. J. O. Wobbrock, L. Findlater, D. Gergle, and J. J. Higgins, “The Aligned Rank Transform for nonparametric factorial analyses using only ANOVA procedures,” in Proceedings of the 29th Annual CHI Conference on Human Factors in Computing Systems (CHI '11), pp. 143–146, Vancouver, Canada, May 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Schmitz, A. Silder, B. Heiderscheit, J. Mahoney, and D. G. Thelen, “Differences in lower-extremity muscular activation during walking between healthy older and young adults,” Journal of Electromyography and Kinesiology, vol. 19, no. 6, pp. 1085–1091, 2009. View at Publisher · View at Google Scholar · View at Scopus
  29. D. W. Russ, K. Gregg-Cornell, M. J. Conaway, and B. C. Clark, “Evolving concepts on the age-related changes in ‘muscle quality’,” Journal of Cachexia, Sarcopenia and Muscle, vol. 3, no. 2, pp. 95–109, 2012. View at Publisher · View at Google Scholar · View at Scopus
  30. H. Yamada, T. Masuda, and M. Okada, “Age-related EMG variables during maximum voluntary contraction,” Perceptual and Motor Skills, vol. 95, no. 1, pp. 10–14, 2002. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Carberry, M. Zweyer, D. Swandulla, and K. Ohlendieck, “Profiling of age-related changes in the tibialis anterior muscle proteome of the mdx mouse model of dystrophinopathy,” Journal of Biomedicine and Biotechnology, vol. 2012, Article ID 691641, 11 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  32. G. Kamen, S. V. Sison, C. C. D. Du, and C. Patten, “Motor unit discharge behavior in older adults during maximal-effort contractions,” Journal of Applied Physiology, vol. 79, no. 6, pp. 1908–1913, 1995. View at Google Scholar · View at Scopus
  33. M. Klass, S. Baudry, and J. Duchateau, “Age-related decline in rate of torque development is accompanied by lower maximal motor unit discharge frequency during fast contractions,” Journal of Applied Physiology, vol. 104, no. 3, pp. 739–746, 2008. View at Publisher · View at Google Scholar · View at Scopus
  34. J. A. Rice, Mathematical Statistics and Data Analysis, Duxbury Press, 1995.
  35. J. A. Kent-Braun and A. V. Ng, “Specific strength and voluntary muscle activation in young and elderly women and men,” Journal of Applied Physiology, vol. 87, no. 1, pp. 22–29, 1999. View at Google Scholar · View at Scopus
  36. S. L. Rowan, K. Rygiel, F. M. Purves-Smith, N. M. Solbak, D. M. Turnbull, and R. T. Hepple, “Denervation causes fiber atrophy and myosin heavy chain co-expression in senescent skeletal muscle,” PLoS ONE, vol. 7, article e29082, 2012. View at Publisher · View at Google Scholar · View at Scopus