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 | |
| 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 |
Cite this
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Estimating respiratory parameters using intra-arterial partial pressure measurements. / Jeremić, Aleksandar; Tan, Kenneth.
Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06. 2006. p. 851-853 4176680.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Estimating respiratory parameters using intra-arterial partial pressure measurements
AU - Jeremić, Aleksandar
AU - Tan, Kenneth
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
ER -