Journal Article

Parameter estimation of a respiratory control model from noninvasive carbon dioxide measurements during sleep

T. Aittokallio, M. Gyllenberg, O. Polo and A. Virkki

in Mathematical Medicine and Biology: A Journal of the IMA

Published on behalf of Institute of Mathematics and its Applications

Volume 24, issue 2, pages 225-249
Published in print June 2007 | ISSN: 1477-8599
Published online June 2007 | e-ISSN: 1477-8602 | DOI: http://dx.doi.org/10.1093/imammb/dql031
Parameter estimation of a respiratory control model from noninvasive carbon dioxide measurements during sleep

More Like This

Show all results sharing these subjects:

  • Applied Mathematics
  • Biomathematics and Statistics

GO

Show Summary Details

Preview

A new method for estimating the parameters of a human gas exchange model is presented. Sensitivity analysis is used both to inspect the relative importance of the model parameters and to speed up the par-ameter estimation process. Multistart optimization is used to compensate for the effects of partial and noisy measurements. The validity of the method is first investigated with a test problem for which par-ameter identifiability is shown. The method is then applied to the estimation of sleep-related changes in the respiratory control system from the end-tidal and transcutaneous carbon dioxide measurements on human subjects. The results show that it is possible to gain insight into the behaviour of the rather complex physiological system using only a few noninvasive measurements and tractable computations.

Keywords: physiological modelling; human respiratory control; parameter estimation; sensitivity analysis

Journal Article.  0 words. 

Subjects: Applied Mathematics ; Biomathematics and Statistics

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.