Detection of nonlinearity in the healthy heart rhythm
S Chillemi1, M Barbi, A Di Garbo
1Institute of Biophysics, CNR, Pisa, Italy. chillemi@ib.pi.cnr.it
Abstract:
Sequences of interbeat intervals from two groups of subjects, 24 in relaxed and 10 in sleeping condition were analyzed by the nonlinear predictor method as well as by a method, proposed recently, able to directly estimate the time series nonlinearity. The nonlinear predictability of the R-R intervals is tested by using surrogate data. The results obtained with both methods show that nearly all the sequences exhibit a statistically meaningful degree of nonlinearity. This raises the question whether such nonlinearity encodes information about the physiological condition of the examined subjects.
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