Modelling and analysis of HRV under physical and mental workloads

J. Zhang, A. Nassef, M. Mahfouf, D. A. Linkens, E. El-Samahy, G. R.J. Hockey, P. Nickel, A. C. Roberts

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

In the first part of this paper we propose to revisit the closed-loop physiological model relating to human volunteers who are subjected to physical workload (stress), first proposed by Luczak and his research team in 1970s. The original model is further investigated and its parameters optimised via Genetic Algorithms using real data. The second part of this paper relates to the possible extensions of the model to model the effect of mental workload (psychological stress) on the cardiovascular system, namely heart rate variability. The autoregressive modelling based spectral analysis method is described and its application to spectral analysis of heart rate variability is evaluated. The assessment of heart rate spectra aimed at providing a meaningful measure of mental workload is also discussed.

Original languageEnglish
Title of host publication6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006
PublisherIFAC Secretariat
Pages189-194
Number of pages6
EditionPART 1
ISBN (Print)9783902661180
DOIs
StatePublished - 2006
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume6
ISSN (Print)1474-6670

Keywords

  • Auto-regressive model
  • Heart rate variability
  • Optimisation
  • Physiological model
  • Power spectral analysis
  • Workload

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