Parameter estimation of a respiratory control model from noninvasive carbon dioxide measurements during sleep.
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.
Aittokallio
T
T
Department of Mathematics, University of Turku, FIN-200141 Turku, Finland.
Gyllenberg
M
M
Polo
O
O
Virkki
A
A
D000465:Algorithms; D001639:Bicarbonates / Q000378:metabolism; D001783:Blood Flow Velocity / Q000502:physiology; D001810:Blood Volume / Q000502:physiology; D002245:Carbon Dioxide / Q000378:metabolism*; D006454:Hemoglobins / Q000378:metabolism; D006801:Humans; D006863:Hydrogen-Ion Concentration; D007700:Kinetics; D008954:Models, Biological; D011659:Pulmonary Gas Exchange / Q000502:physiology*; D012123:Pulmonary Ventilation / Q000502:physiology*; D012890:Sleep / Q000502:physiology*
D001639:Bicarbonates; D006454:Hemoglobins; D002245:Carbon Dioxide