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
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.