Abstract
Heart rate variability (HRV) is in part the result of numerous and complex rhythmical oscillations that can be extracted from time series with spectral methodology (1,2,3). This approach in the frequency domain has made it possible to indirectly explore the neural regulation of cardiovascular function and in particular to assess the changes in sympathovagal balance (2,3).
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Akselrod S, Gordon D, Ubel FA, Shannon DC, Cohen RJ: Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 1981;213:220–222
Pagani M, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, Pizzinelli P, Sandrone G, Malfatto G, Dell’Orto S, Piccaluga E, Turiel M, Baselli G, Cerutti S, Malliani A. Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympathovagal interaction in man and conscious dog. Circ Res 1986;58:178–193
Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Research Advances Series, Circulation 1991;84:482–492
Goldberger AL, West BJ. Applications of non linear dynamics to clinical cardiology. Ann NY Acad Sci 1987;504:195–213.
Sugihara G, Allan W, Sobel D, Allan KD. Non-linear control of heart rate variability in human infants. Proc Natl Acad Sci 1996;93:2608–2613.
Guzzetti S, Signorini MG, Cogliati C, Mezzetti S, Porta A, Cerutti S, Malliani A: Nonlinear dynamics and chaotic indices in heart rate variability of normal subjects and heart-transplanted patients. Cardiovasc Res 1996;31:441–446.
Denton TA, Diamond GA, Helfant RH, Khan S, Karagueuzian H: Fascinating rhythm: A primer on chaos theory and its application to cardiology. Am Heart J 1990; 120:1419–1440
Glass L, Mackey MC. From clock to chaos: the rhythms of life. Princeton University Press. Princeton, 1998.
May RM. Simple mathematical models with very complicated dynamics. Nature 1976;261:459–467.
Guevara MR, Shrier A, Glass L. Phase-locked rhythms in periodically stimulated heart cell aggregates. Am J Physiol 1988;254:H1–H10.
Porta A, Baselli G, Montano N, Gnecchi-Ruscone T, Lombardi F, Malliani A, Cerutti S. Classification of coupling patterns among spontaneous rhythms and ventilation in the sympathetic discharge of decerebrate cats. Biol Cyber 1996;75:163–172.
Montano N, Lombardi F, Gnecchi-Ruscone T, Contini M, Finocchiaro ML, Baselli G, Porta A, Cerutti S, Malliani A. Spectral analysis of sympathetic discharge, R-R-interval and systolic arterial pressure in decerebrate cats. J Autonom Nerv Syst 1992;40:21–32
Kitney RI, Bignall S. Techniques for studying short-term changes in cardio-respiratory data. In: Di Rienzo et al. (eds) Blood pressure and heart rate variability. IOS Press, Amsterdam, 1992 pp 1–23.
Pincus SM. Approximated entropy as a measure of system complexity. Proc Natl Acad Sci USA 1991;88:2297–2311
Porta A, Baselli G, Liberati D, Montano N, Cogliati C, Gnecchi-Ruscone T, Malliani A, Cerutti S. Measuring regularity by means of a corrected conditional entropy in sympathetic outflow. Biol Cybern 1998;78:71–78
Porta A, Baselli G, Guzzetti S, Magatelli R, Montano N, Cogliati C, Malliani A, Cerutti S. Synchronisation analysis of heart rate period variability signal based on corrected conditional entropy. Computers in Cardiology, IEEE Computer Society Press, Los Alamitos, California, 1997:24; 121–124
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Malliani, A., Porta, A., Montano, N., Guzzetti, S. (2000). Heart Rate Variability and Nonlinear Dynamics. In: Osterhues, HH., Hombach, V., Moss, A.J. (eds) Advances in Noninvasive Electrocardiographic Monitoring Techniques. Developments in Cardiovascular Medicine, vol 229. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4090-4_41
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DOI: https://doi.org/10.1007/978-94-011-4090-4_41
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