Asymmetric detrended fluctuation analysis reveals asymmetry in the rr intervals time series

• Autorzy: Mieszkowski D. , Kośmider M. , Krauze T. , Guzik P. , Piskorski J.

Identyfikatory

DOI

10.17512/jamcm.2016.1.10

• Języki publikacji: EN

Abstrakty

EN

In this paper we apply the Asymmetric Detrended Fluctuation Analysis to the RR intervals time series. The mathematical background of the ADFA method is discussed in the context of heart rate variability and heart rate asymmetry. We calculate the α^- and α⁺ ADFA scaling exponents for 100 RR intervals time series recorded in a group of healthy volunteers (20-40 years of age) with the use of the local ADFA. It is found that on average α⁺ < α^-, and that locally α^- dominates most of the time over α⁺ - both results are highly statistically significant.

Słowa kluczowe

EN

scaling exponents; random walk; detrended fluctuation analysis; deheart rate variability; heart rate asymmetry

PL

wykładniki skalowania; błądzenie losowe; analiza fluktuacji; zmienność rytmu serca; asymetria rytmu serca

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2016
• Tom: Vol. 15, nr 1
• Strony: 99--106
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Mieszkowski D.

• Institute of Physics, University of Zielona Gora Zielona Góra, Poland

autor

Kośmider M.

• Institute of Physics, University of Zielona Gora Zielona Góra, Poland

autor

Krauze T.

• Department of Cardiology - Intensive Therapy, University of Medical Sciences Poznań, Poland

autor

Guzik P.

• Department of Cardiology - Intensive Therapy, University of Medical Sciences Poznań, Poland

autor

Piskorski J.

• Institute of Physics, University of Zielona Gora Zielona Góra, Poland

Bibliografia

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• [2] Peng C.K., Buldyrev S.V., Havlin S., Simons M., Stanley H.E., Goldberger A.L., Mosaic organization of DNA nucleotides, Phys. Rev. E 1994, 49, 1685-1689.
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• [4] Piskorski J., Guzik P., Geometry of the Poincaré plot of RR intervals and its asymmetry in healthy adults, Physiol. Meas. 2007, 28, 287-300.
• [5] Piskorski J., Guzik P., The structure of heart rate asymmetry: deceleration and acceleration runs, Physiol. Meas. 2011, 32, 1011-1023.
• [6] Ramirez J.A., Rodrigues E., Echeverria J.C., A DFA approach for assessing asymmetric correlations, Physica A 2009, 388, 2263-2270.
• [7] Rivera-Castro M.A., Miranda J.G.V., Cajueiro D.O., Andrade R.F.S., Detecting switching points using asymmetric detrended fluctuation analysis, Physica A 2012, 391, 170-179.
• [8] Sethna J.P., Statistical Mechanics: Entropy, Order Parameters and Complexity, Oxford University Press, Oxford 2006.
• [9] Goldberger A.L., Amaral L.A.N., Glass L., Hausdor J.M., Ivanov P.Ch., Mark R.G., Mietus J.E., Moody G.B., Peng C.K., Stanley H.E., PhysioBank, Physio-Toolkit, and Physionet: Components of a new research resource for complex physiologic signals, Circulation 2001, 101, e215-e220.
• [10] Guzik P., Piskorski J., Barthel P., Bauer A., Müller A., Junk N., Ulm K., Malik M., Schmidt G., Heart rate deceleration runs for postinfarction risk prediction, J. Electrocardiol. 2012, 45, 70-75.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.