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Methods Inf Med 1997; 36(04/05): 278-281
DOI: 10.1055/s-0038-1636860
Original Article
Schattauer GmbH

Detection of Nonlinearity in the Healthy Heart Rhythm

S. Chillemi
1   Institute of Biophysics, CNR, Pisa, Italy
,
M. Barbi
1   Institute of Biophysics, CNR, Pisa, Italy
,
A. Di Garbo
1   Institute of Biophysics, CNR, Pisa, Italy
,
R. Balocchi
2   Institute of Clinical Physiology, CNR, Pisa, Italy
,
C. Michelassi
2   Institute of Clinical Physiology, CNR, Pisa, Italy
,
C. Carpeggiani
2   Institute of Clinical Physiology, CNR, Pisa, Italy
,
M. Emdin
2   Institute of Clinical Physiology, CNR, Pisa, Italy
› Author Affiliations
Further Information

Publication History

Publication Date:
19 February 2018 (online)

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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.

Keywords:

Heartbeat Time Series - Nonlinear Predictors - Nonlinear Dynamics - Deterministic Chaos
 

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