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:
Departments: Faculty of Science and Technology > Physics
ID Code: 31814
Deposited By: Professor P. V. E. McClintock
Deposited On: 18 Feb 2010 16:02
Refereed?: Yes
Published?: Published
Last Modified: 15 Sep 2019 00:37
URI: https://eprints.lancs.ac.uk/id/eprint/31814

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