Non-linear dynamics of heart rate variability in athletes: Effect of training

Computers in Cardiology

Volumn 29, Issue , 2002, Pages 441-444

  Aubert, André E ^a   Beckers, F ^a   Seps, B ^a  

^a UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; ELECTROCARDIOGRAPHY; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; LYAPUNOV METHODS; MODULATION; TIME SERIES ANALYSIS;

CARDIOVASCULAR FUNCTIONS;

CARDIOLOGY;

EID: 0036955062     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Malik M and Camm AJ, eds. Heart rate variability. Futura Publ, Armonk, NY, 1995.
2. Aubert AE and Ramaekers D. Neurocardiology: the benefits of irregularity. The basics of methodology, physiology and current clinical applications. Acta Cardiol 1999;54:107-120.
3. Akselrod S, Gordon D, Ubel FA, Shannon DC, Barger AC, Cohen R. Power spectral analysis of heart rate fluctuations: a quantitative probe of beat-to-beat cardiovascular control. Science 1981;213:220-222.
4. Mortara A, La Rovere MT, Pinna GD, Prpa A, Maestri R, Febo O, Pozzollo M, Opasich C, Tavazzi L. Arterial baroreflex modulation of heart rate in chronic heart failure. Circulation 1997;96(10):3450-3458.
5. Hartikainen JEK, Tahvanainen KUO, Kuusela TA. Short-term measurement of heart rate variability, p. 149-176, In: Clinical guide to cardiac autonomic tests, M Malik ed., Kluwer Ac Publ, Dordrecht 1998.
6. Katz MJ. Fractals and the analysis of waveforms. Comput Biol Med 1988;18(3):145-156.
7. Rosenstein M, Collins JJ, De Luca CJ. A practical method for calculating largest Lyapunov exponents from small data sets. Physica D 1993;65:117-134.
8. Persson PB, Wagner CD. General principles of chaotic dynamics. Cardiovasc Res 1996;31:332-341.
9. Bogaert C, Beckers F, Ramaekers F, Aubert AE. Analysis of heart rate variability with correlation dimension method in a normal population and in heart transplant patients. Auton. Neurosci. 90: 142-147, 2001
10. Kobayashi M, Musha T. l/f fluctuations of heartbeat period. IEEE Trans Biomed Eng 1982;29(6):456-457.
11. Pincus SM. Approximate entropy as a measure of system complexity. Proc Natl Acad Sci USA 1991;88:2297-2301.
12. Peng CK, Havlin S, Hausdorff JM, Mietus JE, Stanley HE, Goldberger AL. Fractal mechanisms and heart rate dynamics. J Electrocardiol 1996;28(suppl):59-64.
13. Beckers F, Aubert AE, Ramaekers D, Ector H, Van de Werf F. ACTS: Automatic calculation of tachograms and systograms. Progr Biomed Res 1999;4:160-165.
14. Aubert AE, Ramaekers D, Beckers F, Breem R, Denef C, Van de Werf F, Ector H. The analysis of heart rate variability in unrestrained rats. Validation of methods and results. Comp Meth Progr Biomed 1999;60:197-213.
15. Beckers F, Ramaekers D, Aubert AE. Non-linear dynamics in heart rate variability. IEEE Computers in Cardiology 2000, 27: 131-134.
16. Beckers F, Ramaekers D, Aubert AE. Approximate entropy of heart rate variability: validation of methods and application in heart failure. Cardiovasc Eng 2002. In press.
17. Kantz H, Schreiber T. Nonlinear time series analysis. Cambridge, University Press, 1997
18. Pincus SM. Approximate entropy as a measure of system complexity. Proc Natl Acad Sci 1991, 88: 2297-2301
19. Sapoznikov D, Luria MH, Gotsman MS. Detection of regularities in heart rate variations by linear and non-linear analysis: power spectrum versus approximate entropy. CompMeth Progr Biomed. 1995, 48: 201-209