Estimating respiratory parameters using intra-arterial partial pressure measurements

Aleksandar Jeremić, Kenneth Tan

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Abstract

We develop algorithms for estimation of respiratory parameters in ventilated neonates. Such algorithms are important for maintaining the oxygen and carbondioxide blood levels of preterm infants. We present mathematical and statistical models of partial pressure in the arterial blood. Our mathematical model includes physiological compartments, diffusion exchange and mass transfer. To account for possible heteroskedasticity we present parametric model of the variance and estimate the parameters using maximum likelihood. To implement physiological constrains we use Bayesian estimator applicable when informative priors are available. We evaluate the applicability of our techniques using a real data set of intra-arterial pressure measurements.

Original languageEnglish
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages851-853
Number of pages3
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventAsilomar Conference on Signals, Systems and Computing 2006 - Pacific Grove, United States of America
Duration: 29 Oct 20061 Nov 2006
Conference number: 40th

Conference

ConferenceAsilomar Conference on Signals, Systems and Computing 2006
Abbreviated titleACSSC 2006
CountryUnited States of America
CityPacific Grove
Period29/10/061/11/06

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