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

Antonis A. Armoundas; Kihwan Ju; Nikhil Iyengar; Jorgen K. Kanters; Philip J. Saul; Richard J. Cohen; Ki H. Chon

doi:10.1114/1.1451074

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

Antonis A. Armoundas, Kihwan Ju, Nikhil Iyengar, Jorgen K. Kanters, Philip J. Saul, Richard J. Cohen, Ki H. Chon^*

^*Corresponding author af dette arbejde

18 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Annals of Biomedical Engineering
Vol/bind	30
Udgave nummer	2
Sider (fra-til)	192-201
Antal sider	10
ISSN	0090-6964
DOI	https://doi.org/10.1114/1.1451074
Status	Udgivet - 27 apr. 2002

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10.1114/1.1451074

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Citationsformater

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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.}",

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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.

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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

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M3 - Journal article

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