The ebb and flow of heart rate variability: Simulation of 24 hour heart rate time series using time series data from naturally occurring phenomena

P. Langley, J. Allen, E.J. Bowers, M.J. Drinnan, A.J. Haigh, S.T. King, T. Olbrich, F.E. Smith, Dingchang Zheng, A. Murray

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

4 Citations (Scopus)

Abstract

Current RR time series simulations are distinguishable from real data by automatic algorithms. We hypothesised that RR time series simulations could be improved by using time series data from naturally occurring phenomena. 20 records of annual river flow data for the river Tyne in north eastern England were obtained. Each river flow data record was used to generate a single 24 h simulated RR time series with the property of self similarity. We compared the standard frequency parameters ULF, VLF, LF and HF normalised to the total power, for the simulated RR, with those from physiological data from 20 subjects. The river flow data produced realistic simulations of RR time series with significant differences between physiological and simulated series for VLF only. Time series data from river flow or other naturally occurring phenomena may provide useful components in producing RR time series with more realistic characteristics than current artificially generated data
Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherIEEE
Pages973-976
Number of pages4
Volume32
ISBN (Print)0-7803-9337-6
DOIs
Publication statusPublished - 2005
EventComputers in Cardiology Conference - Lyon, France
Duration: 25 Sep 200528 Sep 2005

Publication series

Name
ISSN (Print)0276-6574
ISSN (Electronic)2325-8853

Conference

ConferenceComputers in Cardiology Conference
CountryFrance
CityLyon
Period25/09/0528/09/05

Fingerprint

time series
river flow
simulation
rate
river

Keywords

  • Heart rate variability
  • heart rate monitoring
  • Rivers
  • Frequency conversion
  • Hafnium
  • Computational modeling
  • Heart beat
  • Cardiology
  • Iron
  • Hospitals

Cite this

Langley, P., Allen, J., Bowers, E. J., Drinnan, M. J., Haigh, A. J., King, S. T., ... Murray, A. (2005). The ebb and flow of heart rate variability: Simulation of 24 hour heart rate time series using time series data from naturally occurring phenomena. In Computers in Cardiology (Vol. 32, pp. 973-976). IEEE. https://doi.org/10.1109/CIC.2005.1588271

The ebb and flow of heart rate variability: Simulation of 24 hour heart rate time series using time series data from naturally occurring phenomena. / Langley, P.; Allen, J.; Bowers, E.J.; Drinnan, M.J.; Haigh, A.J.; King, S.T. ; Olbrich, T.; Smith, F.E.; Zheng, Dingchang; Murray, A.

Computers in Cardiology. Vol. 32 IEEE, 2005. p. 973-976.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Langley, P, Allen, J, Bowers, EJ, Drinnan, MJ, Haigh, AJ, King, ST, Olbrich, T, Smith, FE, Zheng, D & Murray, A 2005, The ebb and flow of heart rate variability: Simulation of 24 hour heart rate time series using time series data from naturally occurring phenomena. in Computers in Cardiology. vol. 32, IEEE, pp. 973-976, Computers in Cardiology Conference, Lyon, France, 25/09/05. https://doi.org/10.1109/CIC.2005.1588271
Langley P, Allen J, Bowers EJ, Drinnan MJ, Haigh AJ, King ST et al. The ebb and flow of heart rate variability: Simulation of 24 hour heart rate time series using time series data from naturally occurring phenomena. In Computers in Cardiology. Vol. 32. IEEE. 2005. p. 973-976 https://doi.org/10.1109/CIC.2005.1588271
Langley, P. ; Allen, J. ; Bowers, E.J. ; Drinnan, M.J. ; Haigh, A.J. ; King, S.T. ; Olbrich, T. ; Smith, F.E. ; Zheng, Dingchang ; Murray, A. / The ebb and flow of heart rate variability: Simulation of 24 hour heart rate time series using time series data from naturally occurring phenomena. Computers in Cardiology. Vol. 32 IEEE, 2005. pp. 973-976
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