Estimating respiratory parameters using intra-arterial partial pressure measurements

Aleksandar Jeremić; Kenneth Tan

doi:10.1109/ACSSC.2006.354870

Estimating respiratory parameters using intra-arterial partial pressure measurements

Aleksandar Jeremić, Kenneth Tan

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages	851-853
Number of pages	3
DOIs	https://doi.org/10.1109/ACSSC.2006.354870
Publication status	Published - 2006
Externally published	Yes
Event	Asilomar Conference on Signals, Systems and Computing 2006 - Pacific Grove, United States of America Duration: 29 Oct 2006 → 1 Nov 2006 Conference number: 40th

Conference

Conference	Asilomar Conference on Signals, Systems and Computing 2006
Abbreviated title	ACSSC 2006
Country	United States of America
City	Pacific Grove
Period	29/10/06 → 1/11/06

Access to Document

10.1109/ACSSC.2006.354870

Link to publication in Scopus

Cite this

@inproceedings{fcc4451266da4e0588e2e11599e1ad6a,

title = "Estimating respiratory parameters using intra-arterial partial pressure measurements",

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.",

author = "Aleksandar Jeremi{\'c} and Kenneth Tan",

year = "2006",

doi = "10.1109/ACSSC.2006.354870",

language = "English",

isbn = "1424407850",

pages = "851--853",

booktitle = "Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06",

note = "Asilomar Conference on Signals, Systems and Computing 2006, ACSSC 2006 ; Conference date: 29-10-2006 Through 01-11-2006",

}

Jeremić, A & Tan, K 2006, Estimating respiratory parameters using intra-arterial partial pressure measurements. in Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06., 4176680, pp. 851-853, Asilomar Conference on Signals, Systems and Computing 2006, Pacific Grove, United States of America, 29/10/06. https://doi.org/10.1109/ACSSC.2006.354870

TY - GEN

T1 - Estimating respiratory parameters using intra-arterial partial pressure measurements

AU - Jeremić, Aleksandar

AU - Tan, Kenneth

N1 - Conference code: 40th

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=47049087431&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.2006.354870

DO - 10.1109/ACSSC.2006.354870

M3 - Conference Paper

AN - SCOPUS:47049087431

SN - 1424407850

SN - 9781424407859

SP - 851

EP - 853

BT - Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06

T2 - Asilomar Conference on Signals, Systems and Computing 2006

Y2 - 29 October 2006 through 1 November 2006

ER -