A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations

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Standard

A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations. / Armoundas, Antonis A.; Ju, Kihwan; Iyengar, Nikhil; Kanters, Jorgen K.; Saul, Philip J.; Cohen, Richard J.; Chon, Ki H.

I: Annals of Biomedical Engineering, Bind 30, Nr. 2, 27.04.2002, s. 192-201.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Armoundas, AA, Ju, K, Iyengar, N, Kanters, JK, Saul, PJ, Cohen, RJ & Chon, KH 2002, 'A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations', Annals of Biomedical Engineering, bind 30, nr. 2, s. 192-201. https://doi.org/10.1114/1.1451074

APA

Armoundas, A. A., Ju, K., Iyengar, N., Kanters, J. K., Saul, P. J., Cohen, R. J., & Chon, K. H. (2002). A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations. Annals of Biomedical Engineering, 30(2), 192-201. https://doi.org/10.1114/1.1451074

Vancouver

Armoundas AA, Ju K, Iyengar N, Kanters JK, Saul PJ, Cohen RJ o.a. A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations. Annals of Biomedical Engineering. 2002 apr. 27;30(2):192-201. https://doi.org/10.1114/1.1451074

Author

Armoundas, Antonis A. ; Ju, Kihwan ; Iyengar, Nikhil ; Kanters, Jorgen K. ; Saul, Philip J. ; Cohen, Richard J. ; Chon, Ki H. / A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations. I: Annals of Biomedical Engineering. 2002 ; Bind 30, Nr. 2. s. 192-201.

Bibtex

@article{f7db5a6735114c6f9271744111f32488,
title = "A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations",
abstract = "A new computational algorithm to quantify nonlinear heart-rate dynamics was developed. The term stochastic nonlinear autoregressive (SNAR) model was coined to emphasize that the method models both the deterministic and the stochastic components of the system. Finally, the applicability and reliability of the SNAR algorithm to predict the outcome of cardiac electrophysiologic study (EPS) were demonstrated.",
keywords = "Heart-rate variability, Lyapunov exponent, Nonlinear dynamics, Stochastic nonlinear autoregressive model",
author = "Armoundas, {Antonis A.} and Kihwan Ju and Nikhil Iyengar and Kanters, {Jorgen K.} and Saul, {Philip J.} and Cohen, {Richard J.} and Chon, {Ki H.}",
year = "2002",
month = apr,
day = "27",
doi = "10.1114/1.1451074",
language = "English",
volume = "30",
pages = "192--201",
journal = "Annals of Biomedical Engineering",
issn = "0090-6964",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - A stochastic nonlinear autoregressive algorithm reflects nonlinear dynamics of heart-rate fluctuations

AU - Armoundas, Antonis A.

AU - Ju, Kihwan

AU - Iyengar, Nikhil

AU - Kanters, Jorgen K.

AU - Saul, Philip J.

AU - Cohen, Richard J.

AU - Chon, Ki H.

PY - 2002/4/27

Y1 - 2002/4/27

N2 - A new computational algorithm to quantify nonlinear heart-rate dynamics was developed. The term stochastic nonlinear autoregressive (SNAR) model was coined to emphasize that the method models both the deterministic and the stochastic components of the system. Finally, the applicability and reliability of the SNAR algorithm to predict the outcome of cardiac electrophysiologic study (EPS) were demonstrated.

AB - A new computational algorithm to quantify nonlinear heart-rate dynamics was developed. The term stochastic nonlinear autoregressive (SNAR) model was coined to emphasize that the method models both the deterministic and the stochastic components of the system. Finally, the applicability and reliability of the SNAR algorithm to predict the outcome of cardiac electrophysiologic study (EPS) were demonstrated.

KW - Heart-rate variability

KW - Lyapunov exponent

KW - Nonlinear dynamics

KW - Stochastic nonlinear autoregressive model

UR - http://www.scopus.com/inward/record.url?scp=0036010505&partnerID=8YFLogxK

U2 - 10.1114/1.1451074

DO - 10.1114/1.1451074

M3 - Journal article

C2 - 11962771

AN - SCOPUS:0036010505

VL - 30

SP - 192

EP - 201

JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

SN - 0090-6964

IS - 2

ER -

ID: 204300058