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

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Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data. / Janson, N. B.; Balanov, A. G.; Anishchenko, V. S. et al.
In: Physical Review E, Vol. 65, No. 3, 15.02.2002, p. 036212.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Janson, NB, Balanov, AG, Anishchenko, VS & McClintock, PVE 2002, 'Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data.', Physical Review E, vol. 65, no. 3, pp. 036212. https://doi.org/10.1103/PhysRevE.65.036212

APA

Janson, N. B., Balanov, A. G., Anishchenko, V. S., & McClintock, P. 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. https://doi.org/10.1103/PhysRevE.65.036212

Vancouver

Janson NB, Balanov AG, Anishchenko VS, McClintock PVE. Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data. Physical Review E. 2002 Feb 15;65(3):036212. doi: 10.1103/PhysRevE.65.036212

Author

Janson, N. B. ; Balanov, A. G. ; Anishchenko, V. S. et al. / Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data. In: Physical Review E. 2002 ; Vol. 65, No. 3. pp. 036212.

Bibtex

@article{896bac8c97e444eabc784a6c7e31b193,
title = "Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data.",
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.",
author = "Janson, {N. B.} and Balanov, {A. G.} and Anishchenko, {V. S.} and McClintock, {Peter V. E.}",
year = "2002",
month = feb,
day = "15",
doi = "10.1103/PhysRevE.65.036212",
language = "English",
volume = "65",
pages = "036212",
journal = "Physical Review E",
issn = "1539-3755",
publisher = "American Physical Society",
number = "3",

}

RIS

TY - JOUR

T1 - Phase relationships between two or more interacting processes from one-dimensional time series. II. Application to heart-rate-variability data.

AU - Janson, N. B.

AU - Balanov, A. G.

AU - Anishchenko, V. S.

AU - McClintock, Peter V. E.

PY - 2002/2/15

Y1 - 2002/2/15

N2 - 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.

AB - 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.

U2 - 10.1103/PhysRevE.65.036212

DO - 10.1103/PhysRevE.65.036212

M3 - Journal article

VL - 65

SP - 036212

JO - Physical Review E

JF - Physical Review E

SN - 1539-3755

IS - 3

ER -