Quantification of Athlete’s Heart Condition: A Detrended Fluctuation Analysis

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 170)

Abstract

Detrended fluctuation analysis (DFA) technology was used to check the heartbeats of athletes in the Indonesian olympic training center. We report results of time series analysis of heartbeat on subjects who underwent ergometer exercise. The objective of this research was to determine whether DFA could function as a useful computation method for the evaluation of the subject’s quality of cardiovascular system. Since there are no 2 individuals that are identical physiologically, we present case studies but novel findings regarding how wellness of subjects can be evaluated by the electrocardiography. Even from the case studies, we can propose a general conclusion that DFA is a new, useful numerical method for quantifying the degree of wellness through the heartbeat recording.

Keywords

Athlete Ergometer exercise Detrended fluctuation analysis Heart Heartbeat interval Scaling exponent 

Notes

Acknowledgments

This work was supported by an international collaboration agreement (code number: I-240211) made in 2011 between the Adventist University of Indonesia (AMH), Tokyo Women’s. Medical University (YS), and Tokyo Metropolitan University (TY). This work was also supported in part by Grant-in-Aid for scientific research (C) No. 23500524 (TY).

References

  1. 1.
    Weeks KL, McMullen JR (2010) The athlete’s heart vs. the failing heart: can signaling explain the two distinct outcome? Physiology 26:97–105CrossRefGoogle Scholar
  2. 2.
    Peng C-K, Havlin S, Stanley HE, Goldberger AL (1995) Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos 5:82–87CrossRefGoogle Scholar
  3. 3.
    Stanley HE, Amaral LAN, Goldberger AL, Havlin S, Ivanov PCh, Peng C-K (1999) Statistical physics and physiology: monofractal and multifractal approaches. Phys A 270:309–324CrossRefGoogle Scholar
  4. 4.
    Yazawa T, Kiyono K, Tanaka K, Katsuyama T (2004) Neurodynamical control systems of the heart of Japanese spiny lobster, Panulirusjaponicus. IzvestiyaVUZ. Appl Nonlinear Dyn 12(1–2):114–121MATHGoogle Scholar
  5. 5.
    Stanley HE (1995) Phase transitions. Power laws and universality. Nature 37(8):554CrossRefGoogle Scholar
  6. 6.
    Goldberger AL, Amaral LAN, Hausdorff JM, Ivanov PC, Peng C-K, Stanley HE (2002) Fractal dynamics in physiology: alterations with disease and aging. PNAS 99(suppl 1):2466–2472CrossRefGoogle Scholar
  7. 7.
    Yazawa T, Shimoda Y, Hutapea AM (2010) Evaluation of sleep by detrended fluctuation analysis of the heartbeat, IAENG Transactions on Engineering Technologies, 6, in AIP conference proceedings series, the Congress WCECS AIP press, USA, pp 199–210Google Scholar
  8. 8.
    Lown B, Wolf M (1971) Approaches to sudden death from coronary heart disease. Circulation 44:130–142CrossRefGoogle Scholar
  9. 9.
    Yazawa T, Katsuyama T (2001) Spontaneous and repetitive cardiac slowdown in the freely moving spiny lobster, Panulirusjapnicus. J. Comp Physiol A 187:817–824CrossRefGoogle Scholar
  10. 10.
    Yazawa T, Tanaka K, Kato A, Katsuyama T (2008) The scaling exponent calculated by the detrended fluctuation analysis, distinguishes the injured sick hearts against normal healthy hearts. IAING (WCECS 2008) vol II.pp 7–12. International conference on computational biology, San Francisco, 22–24 OctoberGoogle Scholar
  11. 11.
    Drews O, Tsukamoto O, Liem D, Streicher J, Wang Y, Ping P (2010) Differential regulation of proteasome function in isoproterenol-induced cardiac hypertrophy. Circ Res 107:1094–1101Google Scholar
  12. 12.
    Yazawa T, Hutapea AM, Shimoda Y (2011) Quantification of athlete’s heartbeats engaged in ergometer exercise: a detrended fluctuation analysis study checking the heart condition. Lecture notes in engineering and computer science: proceedings of The World Congress on Engineering and Computer Science 2011, WCECS 2011, 19–21 Oct 2011, San Francisco, pp 585–590Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Toru Yazawa
    • 1
  • Yukio Shimoda
    • 2
  • Albert M. Hutapea
    • 3
  1. 1.Biophysical Cardiology Research, Neurobiology, Department of Biological ScienceTokyo Metropolitan UniversityHachiojiJapan
  2. 2.Medical Research InstituteTokyo Women’s Medical UniversityShinjukuJapan
  3. 3.Faculty of ScienceUniversitas Advent IndonesiaParongpongIndonesia

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