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Method for generating an artificial RR tachogram of a typical healthy human over 24-hours

Abstract:
An algorithm that generates realistic synthetic 24-hour RR-tachograms by including both cardiovascular interactions and transitions between physiological states is presented. Fluctuations in the beat to beat RR-intervals of a normal healthy human over 24 hours are known to exhibit variability on a number of different time scales. Short range variability due to Mayer waves and RSA are incorporated using a power spectrum with given spectral characteristics described by its low and high frequency components. Longer range fluctuations arising from transitions between physiological states are generated using switching distributions extracted from real data. These physiological states, including sleep states, are specified using RR intervals with different means, variances and trends. This algorithm provides RR tachograms that are similar to those in the MIT-BIH Normal Sinus Rhythm Database. The resulting artificial RR times series generator was submitted for part 1 of the Physionet/Computers in Cardiology Challenge 2002 with entry number 201.
Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author


Host title:
COMPUTERS IN CARDIOLOGY 2002, VOL 29
Volume:
29
Pages:
225-228
Publication date:
2002-01-01
ISSN:
0276-6574
ISBN:
0780377354


Pubs id:
pubs:61571
UUID:
uuid:367b5475-9ec8-4155-bf4d-e2eca70ee944
Local pid:
pubs:61571
Source identifiers:
61571
Deposit date:
2013-11-16

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