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Application of DFA to heart rate variability

Mariusz Sozański * , Jan Żebrowski * , Rafał Baranowski +. Application of DFA to heart rate variability. * Faculty of Physics, Warsaw University of Technology + National Institute of Cardiology , Warsaw. 1. Intro – overview of DFA. RR. If we observe scaling: We may conclude that:

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Application of DFA to heart rate variability

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  1. Mariusz Sozański*, Jan Żebrowski*, Rafał Baranowski+ Application of DFA to heart rate variability *Faculty of Physics, Warsaw University of Technology +National Institute of Cardiology, Warsaw

  2. 1. Intro – overview of DFA RR

  3. If we observe scaling: • We may conclude that: • For a=0.5 fluctuations are not self-correlated; • For 0.5<a<1 long-range correlations exist; • For 0<a<0.5 long-range anticorrelations exist; • a=1corresponds to flicker (1/f) noise; • a=1.5 corresponds to Brownian noise; • In other words: the „smoother” the time series, the bigger a is obtained.

  4. *Goldberger,Peng et al., PNAS 99, supp.1, 2466(2002)

  5. *K. Saermark et al., Fractals 8, 4, 315-322 (2000).

  6. scale-independent scale-dependent

  7. scale-independent scale-dependent

  8. scale-independent scale-dependent

  9. window length=8 RR window length=16 RR

  10. THANK YOUFOR YOUR ATTENTION!

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