DocumentCode
3060473
Title
Respiratory parameter estimation in linear lung models
Author
Saatçi, Esra ; Akan, Aydin
Author_Institution
Department of Electronic Engineering, Istanbul Kultur University, BakÃ\xadrkoy, Tÿrkiye
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
307
Lastpage
310
Abstract
If the respiratory system is represented as a one compartment model composed of linear electrical elements, the Minimum Variance Unbiased Estimation (MVUE) is the optimum statistical method to estimate the model parameters. Two well known linear models, RIC and Viscoelastic models were chosen and their parameters were estimated by MVUE. Synthetic data simulations showed that minimum 100Hz sampling rate is required in order to have minimum variance. Estimation of lung inertance and viscoelastic tissue compliance parameters resulted in very large estimation variance, whereas the rest of the parameters were estimated successfully. Both parameter values and estimator variances have their own characterization in terms of patient discrimination for diagnostic purposes.
Keywords
Elasticity; Frequency estimation; Frequency measurement; Lungs; Parameter estimation; Pressure measurement; Respiratory system; Statistical analysis; Time domain analysis; Viscosity; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Elastic Modulus; Forced Expiratory Volume; Humans; Linear Models; Lung; Models, Biological; Respiratory Mechanics; Spirometry; Viscosity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649151
Filename
4649151
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