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
Link To Document :
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