Detrended fluctuation analysis of non-stationary cardiac beat-to-beat interval of sick infants

We performed detrended fluctuation analysis (DFA) of cardiac beat-to-beat intervals (RRis) collected from sick newborn infants over 1-4 day periods. We calculated four different metrics from the DFA fluctuation function: the DFA exponents (>40 beats up to one-fourth of the record length), (15-30...

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Bibliographic Details
Published in:Europhysics letters 2014-11, Vol.108 (4), p.40005-p1-40005-p6
Main Authors: Govindan, Rathinaswamy B., Massaro, An N., Al-Shargabi, Tareq, Andescavage, Nickie Niforatos, Chang, Taeun, Glass, Penny, du Plessis, Adre J.
Format: Article
Language:English
Subjects:
05.40.-a
05.45.Tp
87.19.Hh
Exponents
Fluctuation
Infants
Intervals
Mathematical analysis
Physiology
Time
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Summary:We performed detrended fluctuation analysis (DFA) of cardiac beat-to-beat intervals (RRis) collected from sick newborn infants over 1-4 day periods. We calculated four different metrics from the DFA fluctuation function: the DFA exponents (>40 beats up to one-fourth of the record length), (15-30 beats), root-mean-square (RMS) fluctuation on a short-time scale (20-50 beats), and RMS fluctuation on a long-time scale (110-150 beats). Except , all metrics clearly distinguished two groups of newborn infants (favourable vs. adverse) with well-characterized outcomes. However, the RMS fluctuations distinguished the two groups more consistently over time compared to . Furthermore, RMS distinguished the RRi of the two groups earlier compared to the DFA exponent. In all the three measures, the favourable outcome group displayed higher values, indicating a higher magnitude of (auto-)correlation and variability, thus normal physiology, compared to the adverse outcome group.
ISSN:0295-5075
1286-4854
DOI:10.1209/0295-5075/108/40005