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Computational and Mathematical Methods in Medicine
Volume 2014 (2014), Article ID 471356, 10 pages
http://dx.doi.org/10.1155/2014/471356
Research Article

Resistance Training Exercise Program for Intervention to Enhance Gait Function in Elderly Chronically Ill Patients: Multivariate Multiscale Entropy for Center of Pressure Signal Analysis

1Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, Chung-Li 32003, Taiwan
2Department of Health Management Center, Far Eastern Memorial Hospital, No. 21, Sec. 2, Nanya S. Rd., Banciao District, New Taipei City 220, Taiwan
3Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Road, Da’an District, Taipei City 10607, Taiwan

Received 11 May 2014; Revised 5 August 2014; Accepted 18 August 2014; Published 10 September 2014

Academic Editor: Arnold B. Mitnitski

Copyright © 2014 Ming-Shu Chen and Bernard C. Jiang. 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. Mesa, M. R. Camps, and M. J. V. García, “In-hospital accidental falls: a reality,” Revista de Enfermería, vol. 24, no. 1, pp. 25–30, 2001. View at Google Scholar · View at Scopus
  2. H. A. Bischoff-Ferrari, B. Dawson-Hughes, W. C. Willett et al., “Effect of vitamin D on falls: a meta-analysis,” Journal of the American Medical Association, vol. 291, no. 16, pp. 1999–2006, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. P. H. Honeycutt and P. Ramsey, “Factors contributing to falls in elderly men living in the community,” Geriatric Nursing, vol. 23, no. 5, pp. 250–255, 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. M. A. Fiatarone, E. F. O'Neill, N. D. Ryan et al., “Exercise training and nutritional supplementation for physical frailty in very elderly people,” The New England Journal of Medicine, vol. 330, no. 25, pp. 1769–1775, 1994. View at Publisher · View at Google Scholar · View at Scopus
  5. C.-L. Lai, S.-Y. Tseng, C.-H. Huang et al., “Fun and accurate static balance training to enhance fall prevention ability of aged adults: a preliminary study,” Human Factors and Ergonomics in Manufacturing & Service Industries, vol. 23, no. 6, pp. 517–527, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Sparrow, D. J. Gottlieb, D. Demolles, and R. A. Fielding, “Increases in muscle strength and balance using a resistance training program administered via a telecommunications system in older adults,” Journals of Gerontology A: Biological Sciences and Medical Sciences, vol. 66, no. 11, pp. 1251–1257, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. C. G. Cardoso Jr., R. S. Gomides, A. C. C. Queiroz et al., “Acute and chronic effects of aerobic and resistance exercise on ambulatory blood pressure,” Clinics, vol. 65, no. 3, pp. 317–325, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. C.-S. Wang, T.-C. Lin, T.-H. Wang, and D.-L. Lee, “A healthcare edition of sporting equipment for middle-aged and elderly,” Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 745954, 6 pages, 2013. View at Publisher · View at Google Scholar
  9. A. Martinez-Amat, F. Hita-Contreras, R. Lomas-Vega, I. Caballero-Martinez, P. J. Alvarez, and E. Martinez-Lopez, “Effects of 12-week proprioception training program on postural stability, gait and balance in older adults: a controlled clinical trial,” The Journal of Strength & Conditioning Research, vol. 27, no. 8, pp. 2180–2188, 2012. View at Google Scholar
  10. B. C. Jiang, W.-H. Yang, J.-S. Shieh, J. S.-Z. Fan, and C.-K. Peng, “Entropy-based method for COP data analysis,” Theoretical Issues in Ergonomics Science, vol. 14, no. 3, pp. 227–246, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. M. U. Ahmed and D. P. Mandic, “Multivariate multiscale entropy analysis,” IEEE Signal Processing Letters, vol. 19, no. 2, pp. 91–94, 2012. View at Google Scholar
  12. D. Looney, M. U. Ahmed, and D. P. Mandic, “Human-centred multivariate complexity analysis,” Natural Intelligence, vol. 1, no. 3, pp. 40–43, 2012. View at Google Scholar
  13. M. U. Ahmed, L. Li, J. Cao, and D. P. Mandic, “Multivariate multiscale entropy for brain consciousness analysis,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11), pp. 810–813, Boston, Mass, USA, 2011. View at Publisher · View at Google Scholar
  14. M. U. Ahmed, N. Rehman, D. Looney, T. M. Rutkowski, and D. P. Mandic, “Dynamical complexity of human responses: a multivariate data-adaptive framework,” Bulletin of the Polish Academy of Sciences: Technical Sciences, vol. 60, no. 3, pp. 433–445, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. A. M. Sabatini, “A statistical mechanical analysis of postural sway using non-gaussian FARIMA stochastic models,” IEEE Transactions on Biomedical Engineering, vol. 47, no. 9, pp. 1219–1227, 2000. View at Publisher · View at Google Scholar · View at Scopus
  16. D. Winter, “Human balance and posture control during standing and walking,” Gait and Posture, vol. 3, no. 4, pp. 193–214, 1995. View at Publisher · View at Google Scholar · View at Scopus
  17. P. Era, M. Schroll, H. Ytting, I. Gause-Nilsson, E. Heikkinen, and B. Steen, “Postural balance and its sensory-motor correlates in 75-year-old men and women: a cross-national comparative study,” Journals of Gerontology A: Biological Sciences and Medical Sciences, vol. 51, no. 2, pp. M53–M63, 1996. View at Google Scholar · View at Scopus
  18. P. B. Thapa, P. Gideon, K. G. Brockman, R. L. Fought, and W. A. Ray, “Clinical and biomechanical measures of balance as fall predictors in ambulatory nursing home residents,” The Journals of Gerontology A: Biological Sciences and Medical Sciences, vol. 51, no. 5, pp. M239–M246, 1996. View at Google Scholar · View at Scopus
  19. M. Costa, A. A. Priplata, L. A. Lipsitz et al., “Noise and poise: enhancement of postural complexity in the elderly with a stochastic-resonance-based therapy,” EPL, vol. 77, no. 6, Article ID 68008, 2007. View at Publisher · View at Google Scholar · View at Scopus
  20. N. E. Huang, Z. Shen, S. R. Long et al., “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,” The Royal Society of London. Proceedings A: Mathematical, Physical and Engineering Sciences, vol. 454, no. 1971, pp. 903–995, 1998. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  21. X. Zhou, T. Yang, H. Zou, and H. Zhao, “Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns,” Optics Letters, vol. 37, no. 11, pp. 1904–1906, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. N. Rehman and D. P. Mandic, “Multivariate empirical mode decomposition,” Proceedings of The Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 466, no. 2117, pp. 1291–1302, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. N. ur Rehman and D. P. Mandic, “Filter bank property of multivariate empirical mode decomposition,” IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 2421–2426, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  24. N. E. Huang, M. C. Wu, S. R. Long et al., “A confidence limit for the empirical mode decomposition and Hilbert spectral analysis,” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 459, no. 2037, pp. 2317–2345, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  25. M. Costa, A. L. Goldberger, and C.-K. Peng, “Multiscale entropy analysis of biological signals,” Physical Review E, vol. 71, no. 2, Article ID 021906, 18 pages, 2005. View at Publisher · View at Google Scholar · View at MathSciNet
  26. R. A. Thuraisingham and G. A. Gottwald, “On multiscale entropy analysis for physiological data,” Physica A: Statistical Mechanics and Its Applications, vol. 366, pp. 323–332, 2006. View at Publisher · View at Google Scholar · View at Scopus
  27. M. U. Ahmed and D. P. Mandic, “Multivariate multiscale entropy: a tool for complexity analysis of multichannel data,” Physical Review E, vol. 84, no. 6, Article ID 061918, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. Q. Wei, D.-H. Liu, K.-H. Wang et al., “Multivariate multiscale entropy applied to center of pressure signals analysis: an effect of vibration stimulation of shoes,” Entropy, vol. 14, no. 11, pp. 2157–2172, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  29. F. C. Morabito, D. Labate, F. La Foresta, A. Bramanti, G. Morabito, and I. Palamara, “Multivariate multi-scale permutation entropy for complexity analysis of Alzheimer's disease EEG,” Entropy, vol. 14, no. 7, pp. 1186–1202, 2012. View at Publisher · View at Google Scholar · View at Scopus
  30. K. A. Sherk, D. A. Bemben, S. E. Brickman, and M. G. Bemben, “Effects of resistance training duration on muscular strength retention 6-month posttraining in older men and women,” Journal of Geriatric Physical Therapy, vol. 35, no. 1, pp. 20–27, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. M. Costa, A. L. Goldberger, and C.-K. Peng, “Multiscale entropy analysis of complex physiologic time series,” Physical Review Letters, vol. 89, no. 6, Article ID 068102, 2002. View at Google Scholar · View at Scopus
  32. M. Costa, I. Ghiran, C.-K. Peng, A. Nicholson-Weller, and A. L. Goldberger, “Complex dynamics of human red blood cell flickering: alterations with in vivo aging,” Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, vol. 78, no. 2, Article ID 020901, 2008. View at Publisher · View at Google Scholar · View at Scopus
  33. R. Hornero, D. Abasolo, J. Escudero, and C. Gomez, “Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease,” Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, vol. 367, no. 1887, pp. 317–336, 2009. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  34. M. Costa, A. A. Priplata, L. A. Lipsitz et al., “Noise and poise: enhancement of postural complexity in the elderly with a stochastic-resonance-based therapy,” Europhysics Letters, vol. 77, no. 6, Article ID 68008, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. A. M. Sabatini, “Analysis of postural sway using entropy measures of signal complexity,” Medical and Biological Engineering & Computing, vol. 38, no. 6, pp. 617–624, 2000. View at Publisher · View at Google Scholar · View at Scopus
  36. A. Bravi and A. M. Sabatini, “A multidimensional approach to postural sway modeling,” in Proceedings of the IEEE International Workshop on Medical Measurements and Applications (MeMeA '10), pp. 121–124, Ottawa, Canada, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  37. A. L. Goldberger, L. A. N. Amaral, J. M. Hausdorff, P. C. Ivanov, C.-K. Peng, and H. E. Stanley, “Fractal dynamics in physiology: alterations with disease and aging,” Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 1, pp. 2466–2472, 2002. View at Publisher · View at Google Scholar · View at Scopus
  38. L. Z. Rubenstein, K. R. Josephson, P. R. Trueblood et al., “Effects of a group exercise program on strength, mobility, and falls among fall-prone elderly men,” Journals of Gerontology A: Biological Sciences and Medical Sciences, vol. 55, no. 6, pp. M317–M321, 2000. View at Publisher · View at Google Scholar · View at Scopus
  39. S. W. Muir, K. Berg, B. Chesworth, and M. Speechley, “Use of the Berg Balance Scale for predicting multiple falls in community-dwelling elderly people: a prospective study,” Physical Therapy, vol. 88, no. 4, pp. 449–459, 2008. View at Publisher · View at Google Scholar · View at Scopus