Home > Research > Publications & Outputs > Phase coupling in the cardiorespiratory interac...

Research

Associated organisational unit

Electronic data

  • CISS3-sys.bioRevisedPostPrint

    Rights statement: ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 211 KB, PDF document

Links

Text available via DOI:

View graph of relations

Phase coupling in the cardiorespiratory interaction.

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

Published

Standard

Phase coupling in the cardiorespiratory interaction. / Bahraminasab, Alireza; Kenwright, David A.; Stefanovska, Aneta et al.
In: IET Systems Biology, Vol. 2, No. 1, 01.2008, p. 48-54.

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

Harvard

Bahraminasab, A, Kenwright, DA, Stefanovska, A, Ghasemi, F & McClintock, PVE 2008, 'Phase coupling in the cardiorespiratory interaction.', IET Systems Biology, vol. 2, no. 1, pp. 48-54. https://doi.org/10.1049/iet-syb:20060087

APA

Bahraminasab, A., Kenwright, D. A., Stefanovska, A., Ghasemi, F., & McClintock, P. V. E. (2008). Phase coupling in the cardiorespiratory interaction. IET Systems Biology, 2(1), 48-54. https://doi.org/10.1049/iet-syb:20060087

Vancouver

Bahraminasab A, Kenwright DA, Stefanovska A, Ghasemi F, McClintock PVE. Phase coupling in the cardiorespiratory interaction. IET Systems Biology. 2008 Jan;2(1):48-54. doi: 10.1049/iet-syb:20060087

Author

Bahraminasab, Alireza ; Kenwright, David A. ; Stefanovska, Aneta et al. / Phase coupling in the cardiorespiratory interaction. In: IET Systems Biology. 2008 ; Vol. 2, No. 1. pp. 48-54.

Bibtex

@article{96177a5861e9462ab44175d3e4befa13,
title = "Phase coupling in the cardiorespiratory interaction.",
abstract = "Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of heart rate and respiration rate variability data. A model of their 'phase' interactions is obtained for the first time, thereby gaining new insights into the strength and direction of the cardiorespiratory phase coupling. The reconstructed model can reproduce synchronisation phenomena between the cardiac and the respiratory systems, including switches in synchronisation ratio. The technique is equally applicable to the extraction of the multi-dimensional couplings between many interacting subsystems.",
author = "Alireza Bahraminasab and Kenwright, {David A.} and Aneta Stefanovska and Fatemeh Ghasemi and McClintock, {Peter V. E.}",
note = "{\textcopyright}2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2008",
month = jan,
doi = "10.1049/iet-syb:20060087",
language = "English",
volume = "2",
pages = "48--54",
journal = "IET Systems Biology",
issn = "1751-8849",
publisher = "Institution of Engineering and Technology",
number = "1",

}

RIS

TY - JOUR

T1 - Phase coupling in the cardiorespiratory interaction.

AU - Bahraminasab, Alireza

AU - Kenwright, David A.

AU - Stefanovska, Aneta

AU - Ghasemi, Fatemeh

AU - McClintock, Peter V. E.

N1 - ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2008/1

Y1 - 2008/1

N2 - Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of heart rate and respiration rate variability data. A model of their 'phase' interactions is obtained for the first time, thereby gaining new insights into the strength and direction of the cardiorespiratory phase coupling. The reconstructed model can reproduce synchronisation phenomena between the cardiac and the respiratory systems, including switches in synchronisation ratio. The technique is equally applicable to the extraction of the multi-dimensional couplings between many interacting subsystems.

AB - Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of heart rate and respiration rate variability data. A model of their 'phase' interactions is obtained for the first time, thereby gaining new insights into the strength and direction of the cardiorespiratory phase coupling. The reconstructed model can reproduce synchronisation phenomena between the cardiac and the respiratory systems, including switches in synchronisation ratio. The technique is equally applicable to the extraction of the multi-dimensional couplings between many interacting subsystems.

U2 - 10.1049/iet-syb:20060087

DO - 10.1049/iet-syb:20060087

M3 - Journal article

VL - 2

SP - 48

EP - 54

JO - IET Systems Biology

JF - IET Systems Biology

SN - 1751-8849

IS - 1

ER -