120 likes | 218 Views
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:
E N D
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
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.
scale-independent scale-dependent
scale-independent scale-dependent
scale-independent scale-dependent
window length=8 RR window length=16 RR