Table of Contents
International Scholarly Research Notices
Volume 2014, Article ID 673232, 6 pages
http://dx.doi.org/10.1155/2014/673232
Research Article

HRV Analysis: A Clinical and Diagnostic Tool in Chronic Obstructive Pulmonary Disease

1Departamento de Fisioterapia, Universidade Estadual Paulista (UNESP), Presidente Prudente, SP, Brazil
2Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Gipsy Lane, Oxford OX3 0BP, UK

Received 11 March 2014; Accepted 20 May 2014; Published 15 July 2014

Academic Editor: Raphael Schneider

Copyright © 2014 Aline Fernanda Barbosa Bernardo 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. A. J. Seely and P. Macklem, “Fractal variability: an emergent property of complex dissipative systems,” Chaos, vol. 22, no. 1, Article ID 013108, 2012. View at Publisher · View at Google Scholar
  2. A. L. Goldberger, “Cardiac chaos,” Science, vol. 243, no. 4897, p. 1419, 1989. View at Google Scholar · View at Scopus
  3. A. L. Goldberger, D. R. Rigney, and B. J. West, “Chaos and fractals in human physiology,” Scientific American, vol. 262, no. 2, pp. 42–49, 1990. View at Google Scholar
  4. T. Elbert, W. J. Ray, Z. J. Kowalik, J. E. Skinner, K. E. Graf, and N. Birbaumer, “Chaos and physiology: deterministic chaos in excitable cell assemblies,” Physiological Reviews, vol. 74, no. 1, pp. 1–47, 1994. View at Google Scholar · View at Scopus
  5. M.-W. Ho, The Rainbow and the Worm: The Physics of Organisms, World Scientific, Singapore, 2008.
  6. M. C. Mackey and J. G. Milton, “Dynamical diseases,” Annals of the New York Academy of Sciences, vol. 504, no. 1, pp. 16–32, 1987. View at Publisher · View at Google Scholar
  7. J. E. Skinner, C. M. Pratt, and T. Vybiral, “A reduction in the correlation dimension of heartbeat intervals precedes imminent ventricular fibrillation in human subjects,” The American Heart Journal, vol. 125, no. 3, pp. 731–743, 1993. View at Google Scholar
  8. C. K. Peng, S. Havlin, J. M. Hausdorff, J. E. Mietus, H. E. Stanley, and A. L. Goldberger, “Fractal mechanisms and heart rate dynamics: long-range correlations and their breakdown with disease,” Journal of Electrocardiology, vol. 28, supplement, pp. 59–65, 1995. View at Google Scholar
  9. R. Johnson and J. Shore, “Which is the better entropy expression for speech processing: −S log S or log S?” IEEE Transactions on Acoustics, vol. 32, no. 1, pp. 129–137, 1984. View at Publisher · View at Google Scholar
  10. D. M. Garner and B. W. K. Ling, “Measuring and locating zones of chaos and irregularity,” Journal of Systems Science and Complexity, vol. 27, no. 3, pp. 494–506, 2014. View at Google Scholar
  11. F. M. Vanderlei, L. C. Vanderlei, and D. M. Garner, “Chaotic global parameters correlation with heart rate variability in obese children,” Journal of Human Growth and Development, vol. 24, no. 1, pp. 24–30, 2014. View at Google Scholar
  12. N. M. de Souza, L. C. M. Vanderlei, and D. M. Garner, “Risk evaluation of diabetes mellitus by relation of chaotic globals to HRV,” Complexity, 2014. View at Publisher · View at Google Scholar
  13. C. E. Shannon, “A mathematical theory of communication,” The Bell System Technical Journal, vol. 27, no. 3, pp. 379–423, 1948. View at Publisher · View at Google Scholar
  14. K. Zyczkowski, “Rényi extrapolation of Shannon entropy,” Open Systems and Information Dynamics, vol. 10, no. 3, pp. 297–310, 2003. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Ghil, “The SSA-MTM toolkit: applications to analysis and prediction of time series,” Applications of Soft Computing, vol. 3165, pp. 216–230, 1997. View at Publisher · View at Google Scholar
  16. D. B. Percival and A. T. Walden, Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques, Cambridge University Press, New York, NY, USA, 1993.
  17. M. Kawaguchi, I. Takamatsu, and T. Kazama, “Rocuronium dose-dependently suppresses the spectral entropy response to tracheal intubation during propofol anaesthesia,” The British Journal of Anaesthesia, vol. 102, no. 5, pp. 667–672, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. J. Morgaz, M. D. M. Granados, J. M. Domínguez et al., “Evaluation of spectral entropy to measure anaesthetic depth and antinociception in sevoflurane-anaesthetised Beagle dogs,” Veterinary Journal, vol. 188, no. 3, pp. 352–355, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. D. Alvarez, R. Hornero, J. Marcos, F. del Campo, and M. Lopez, “Spectral analysis of electroencephalogram and oximetric signals in obstructive sleep apnea diagnosis,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '09), vol. 2009, pp. 400–403, Minneapolis, Minn, USA, September 2009. View at Publisher · View at Google Scholar
  20. S. H. Moosavi, G. P. Topulos, A. Hafer et al., “Acute partial paralysis alters perceptions of air hunger, work and effort at constant PCO2 and VE,” Respiration Physiology, vol. 122, no. 1, pp. 45–60, 2000. View at Publisher · View at Google Scholar · View at Scopus
  21. R. B. Banzett, R. W. Lansing, M. B. Reid, L. Adams, and R. Brown, “‘Air hunger’ arising from increased PCO2 in mechanically ventilated quadriplegics,” Respiration Physiology, vol. 76, no. 1, pp. 53–67, 1989. View at Google Scholar · View at Scopus
  22. A. P. Binks, A. Vovk, M. Ferrigno, and R. B. Banzett, “The air hunger response of four elite breath-hold divers,” Respiratory Physiology and Neurobiology, vol. 159, no. 2, pp. 171–177, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. T. Similowski, W. A. Whitelaw, J. P. Derenne, and J. O. Benditt, “Books, films, tapes, & software-clinical management of chronic obstructive pulmonary disease,” Respiratory Care, vol. 48, no. 2, p. 143, 2003. View at Google Scholar
  24. “Standardization of spirometry, 1994 update. American Thoracic Society,” The American Journal of Respiratory and Critical Care Medicine, vol. 15, pp. 1107–1136, 1995. View at Publisher · View at Google Scholar
  25. K. F. Rabe, S. Hurd, A. Anzueto et al., “Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary,” The American Journal of Respiratory and Critical Care Medicine, vol. 176, no. 6, pp. 532–555, 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. A. Alkan and M. K. Kiymik, “Comparison of AR and Welch methods in epileptic seizure detection,” Journal of Medical Systems, vol. 30, no. 6, pp. 413–419, 2006. View at Publisher · View at Google Scholar · View at Scopus
  27. G. C. Donaldson, T. A. R. Seemungal, J. R. Hurst, and J. A. Wedzicha, “Detrended fluctuation analysis of peak expiratory flow and exacerbation frequency in COPD,” European Respiratory Journal, vol. 40, no. 5, pp. 1123–1129, 2012. View at Publisher · View at Google Scholar · View at Scopus
  28. C. K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger, “Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series,” Chaos, vol. 5, no. 1, pp. 82–87, 1995. View at Google Scholar · View at Scopus
  29. D. Slepian, “Prolate spheroidal wave functions, Fourier analysis and uncertainty—V: the discrete case,” Bell System Technical Journal, vol. 57, no. 5, pp. 1371–1430, 1978. View at Google Scholar · View at Scopus
  30. T. W. Anderson and D. A. Darling, “A test of goodness of fit,” Journal of the American Statistical Association, vol. 49, no. 268, pp. 765–769, 1954. View at Google Scholar
  31. T. A. Ryan and B. L. Joiner, “Normal probability plots and tests for normality,” Minitab Statistical Software, The Pennsylvania State University, MINITAB, State College, Pa, USA, 1976. View at Google Scholar
  32. W. H. Kruskal and W. A. Wallis, “Use of ranks in one-criterion variance analysis,” Journal of the American Statistical Association, vol. 260, no. 47, pp. 583–621, 1952. View at Google Scholar
  33. I. T. Jolliffe, Principal Component Analysis, Springer Series in Statistics, Springer, New York, NY, USA, 2002.