Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data.

Janson, N. B. and Balanov, A. G. and Anishchenko, V. S. and McClintock, Peter V. E. (2002) Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data. Physical Review E, 65 (3). 036212. ISSN 1539-3755

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Abstract

The recently proposed approach to detect synchronization from univariate data is applied to heart-rate-variability (HRV) data from ten healthy humans. The approach involves introducing angles for return times map and studying their behavior. For filtered human HRV data, it is demonstrated that: (i) in many of the subjects studied, interactions between different processes within the cardiovascular system can be considered as weak, and the angles can be well described by the derived model; (ii) in some of the subjects the strengths of the interactions between the processes are sufficiently large that the angles map has a distinctive structure, which is not captured by our model; (iii) synchronization between the processes involved can often be detected; (iv) the instantaneous radii are rather disordered.

Item Type:
Journal Article
Journal or Publication Title:
Physical Review E
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qc
Subjects:
ID Code:
31814
Deposited On:
18 Feb 2010 16:02
Refereed?:
Yes
Published?:
Published
Last Modified:
06 Aug 2020 00:52