Simulation of cardiac RR interval time series

E. J. Bowers; P. Langley; M. J. Drinnan; J. Allen; F. E. Smith; A. Murray

doi:10.1109/CIC.2002.1166750

Simulation of cardiac RR interval time series

E. J. Bowers, P. Langley, M. J. Drinnan, J. Allen, F. E. Smith, A. Murray

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An RR interval simulator was developed as part of the Computers in Cardiology Challenge (entry no. 184). The simulator was based on observed physiological changes in normal subjects. A template, which represented slow trends in RR interval during 24 hours, was derived from a number of parameters that represent sleep and wake states. The variations about the template were generated so that the frequency spectrum of the final signal was similar to data from normal subjects. The frequency spectrum of normal RR intervals shows a strong l/f component, a peak at around 0.1 Hz and a peak corresponding to respiratory rate between 0.15 Hz and 0.4 Hz. These were simulated by adding to the template pink noise, a number of random phased sinusoids at around 0.1 Hz and a signal that represented respiration. Variations due to respiration were dependent on sleep and wake states.

Original language	English
Title of host publication	Computers in Cardiology 2002
Publisher	IEEE
Pages	233-236
Number of pages	4
Volume	29
ISBN (Print)	0780377354
DOIs	https://doi.org/10.1109/CIC.2002.1166750
Publication status	Published - 25 Sept 2002
Externally published	Yes
Event	Computers in Cardiology 2002 - Memphis, United States Duration: 22 Sept 2002 → 25 Sept 2002

Conference

Conference	Computers in Cardiology 2002
Country/Territory	United States
City	Memphis
Period	22/09/02 → 25/09/02

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Cite this

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title = "Simulation of cardiac RR interval time series",

abstract = "An RR interval simulator was developed as part of the Computers in Cardiology Challenge (entry no. 184). The simulator was based on observed physiological changes in normal subjects. A template, which represented slow trends in RR interval during 24 hours, was derived from a number of parameters that represent sleep and wake states. The variations about the template were generated so that the frequency spectrum of the final signal was similar to data from normal subjects. The frequency spectrum of normal RR intervals shows a strong l/f component, a peak at around 0.1 Hz and a peak corresponding to respiratory rate between 0.15 Hz and 0.4 Hz. These were simulated by adding to the template pink noise, a number of random phased sinusoids at around 0.1 Hz and a signal that represented respiration. Variations due to respiration were dependent on sleep and wake states.",

author = "Bowers, {E. J.} and P. Langley and Drinnan, {M. J.} and J. Allen and Smith, {F. E.} and A. Murray",

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doi = "10.1109/CIC.2002.1166750",

language = "English",

isbn = "0780377354",

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T1 - Simulation of cardiac RR interval time series

AU - Bowers, E. J.

AU - Langley, P.

AU - Drinnan, M. J.

AU - Allen, J.

AU - Smith, F. E.

AU - Murray, A.

PY - 2002/9/25

Y1 - 2002/9/25

N2 - An RR interval simulator was developed as part of the Computers in Cardiology Challenge (entry no. 184). The simulator was based on observed physiological changes in normal subjects. A template, which represented slow trends in RR interval during 24 hours, was derived from a number of parameters that represent sleep and wake states. The variations about the template were generated so that the frequency spectrum of the final signal was similar to data from normal subjects. The frequency spectrum of normal RR intervals shows a strong l/f component, a peak at around 0.1 Hz and a peak corresponding to respiratory rate between 0.15 Hz and 0.4 Hz. These were simulated by adding to the template pink noise, a number of random phased sinusoids at around 0.1 Hz and a signal that represented respiration. Variations due to respiration were dependent on sleep and wake states.

AB - An RR interval simulator was developed as part of the Computers in Cardiology Challenge (entry no. 184). The simulator was based on observed physiological changes in normal subjects. A template, which represented slow trends in RR interval during 24 hours, was derived from a number of parameters that represent sleep and wake states. The variations about the template were generated so that the frequency spectrum of the final signal was similar to data from normal subjects. The frequency spectrum of normal RR intervals shows a strong l/f component, a peak at around 0.1 Hz and a peak corresponding to respiratory rate between 0.15 Hz and 0.4 Hz. These were simulated by adding to the template pink noise, a number of random phased sinusoids at around 0.1 Hz and a signal that represented respiration. Variations due to respiration were dependent on sleep and wake states.

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ER -

Simulation of cardiac RR interval time series

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