Home > Research > Publications & Outputs > Stochastic nonlinear dynamics of the cardiovasc...

Research

Electronic data

  • WITPress2003StochNonlinCardiovasc

    Final published version, 602 KB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

Stochastic nonlinear dynamics of the cardiovascuIar system

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Stochastic nonlinear dynamics of the cardiovascuIar system. / McClintock, Peter; Stefanovska, Aneta.
Simulations in Biomedicine V. ed. / Z M Arnez; C A Brebbia; F Solina; V Stankovski. WIT Press, 2003. p. 57-68 (WIT Transactions on Biomedicine and Health; Vol. 6).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

McClintock, P & Stefanovska, A 2003, Stochastic nonlinear dynamics of the cardiovascuIar system. in ZM Arnez, CA Brebbia, F Solina & V Stankovski (eds), Simulations in Biomedicine V. WIT Transactions on Biomedicine and Health, vol. 6, WIT Press, pp. 57-68. https://doi.org/10.2495/BIO030061

APA

McClintock, P., & Stefanovska, A. (2003). Stochastic nonlinear dynamics of the cardiovascuIar system. In Z. M. Arnez, C. A. Brebbia, F. Solina, & V. Stankovski (Eds.), Simulations in Biomedicine V (pp. 57-68). (WIT Transactions on Biomedicine and Health; Vol. 6). WIT Press. https://doi.org/10.2495/BIO030061

Vancouver

McClintock P, Stefanovska A. Stochastic nonlinear dynamics of the cardiovascuIar system. In Arnez ZM, Brebbia CA, Solina F, Stankovski V, editors, Simulations in Biomedicine V. WIT Press. 2003. p. 57-68. (WIT Transactions on Biomedicine and Health). doi: 10.2495/BIO030061

Author

McClintock, Peter ; Stefanovska, Aneta. / Stochastic nonlinear dynamics of the cardiovascuIar system. Simulations in Biomedicine V. editor / Z M Arnez ; C A Brebbia ; F Solina ; V Stankovski. WIT Press, 2003. pp. 57-68 (WIT Transactions on Biomedicine and Health).

Bibtex

@inbook{32257261be0d471497da768660482a52,
title = "Stochastic nonlinear dynamics of the cardiovascuIar system",
abstract = "The human cardiovascular system (CVS) is a highly complex mechanism. Signals derived from it are difficult to analyse because they are time-varying, noisy, and of necessarily limited duration. The application of techniques drawn from nonlinear science has, however, yielded many insights into the nature of the CVS, and has provided strong evidence for a large degree of determinism in the way it functions. Yet there is compelling evidence that random fluctuations (noise) also play an important role. The extent to which the CVS can be modelled as a stochastic nonlinear dynamical system is reviewed, and future research and possible applications based on this perception are discussed.",
author = "Peter McClintock and Aneta Stefanovska",
year = "2003",
doi = "10.2495/BIO030061",
language = "English",
isbn = "1853129658",
series = "WIT Transactions on Biomedicine and Health",
publisher = "WIT Press",
pages = "57--68",
editor = "Arnez, {Z M } and Brebbia, {C A } and Solina, {F } and V Stankovski",
booktitle = "Simulations in Biomedicine V",

}

RIS

TY - CHAP

T1 - Stochastic nonlinear dynamics of the cardiovascuIar system

AU - McClintock, Peter

AU - Stefanovska, Aneta

PY - 2003

Y1 - 2003

N2 - The human cardiovascular system (CVS) is a highly complex mechanism. Signals derived from it are difficult to analyse because they are time-varying, noisy, and of necessarily limited duration. The application of techniques drawn from nonlinear science has, however, yielded many insights into the nature of the CVS, and has provided strong evidence for a large degree of determinism in the way it functions. Yet there is compelling evidence that random fluctuations (noise) also play an important role. The extent to which the CVS can be modelled as a stochastic nonlinear dynamical system is reviewed, and future research and possible applications based on this perception are discussed.

AB - The human cardiovascular system (CVS) is a highly complex mechanism. Signals derived from it are difficult to analyse because they are time-varying, noisy, and of necessarily limited duration. The application of techniques drawn from nonlinear science has, however, yielded many insights into the nature of the CVS, and has provided strong evidence for a large degree of determinism in the way it functions. Yet there is compelling evidence that random fluctuations (noise) also play an important role. The extent to which the CVS can be modelled as a stochastic nonlinear dynamical system is reviewed, and future research and possible applications based on this perception are discussed.

U2 - 10.2495/BIO030061

DO - 10.2495/BIO030061

M3 - Chapter

SN - 1853129658

SN - 9781853129650

T3 - WIT Transactions on Biomedicine and Health

SP - 57

EP - 68

BT - Simulations in Biomedicine V

A2 - Arnez, Z M

A2 - Brebbia, C A

A2 - Solina, F

A2 - Stankovski, V

PB - WIT Press

ER -