DocumentCode
1668503
Title
Determination of Dynamic Respiratory Mechanics with the Adaptive Slice Method
Author
Zhao, Zhanqi ; Möller, Knut ; Schumann, Stefan ; Guttmann, Josef
Author_Institution
Biomed. Eng., Furtwangen Univ., Villingen-Schwenningen
fYear
2008
Firstpage
1686
Lastpage
1689
Abstract
Respiratory system mechanics are nonlinear, i.e. may depend on volume, pressure and flow [1, 2]. A new multipoint method is presented for simultaneously determining dynamic compliance and resistance based on the equation of motion. The adaptive slice method (ASM) is derived from the slice method [4], which divides a breathing cycle into several fixed volume slices. For each slice, one compliance value and one resistance value are calculated by applying a least-squares-fit (LSF) method. Since compliance and resistance values are not constant, the calculated values will be changing if the width of the corresponding slice is changed. Therefore, instead of applying a fixed width, the width of each slice is determined according to a quality measure based on the confidence interval of the parameter estimation. The method was evaluated by using simulated and animal data obtained from former experiments. The comparison with other methods shows that the adaptive determination of slice bounds results in more consistent parameter values.
Keywords
biomedical measurement; least squares approximations; nonlinear dynamical systems; parameter estimation; pneumodynamics; adaptive slice method; breathing; dynamic respiratory compliance determination; dynamic respiratory mechanics; equation-of-motion; least-squares-fit method; parameter estimation; Animals; Data analysis; Immune system; Lungs; Nonlinear dynamical systems; Nonlinear equations; Parameter estimation; Piecewise linear approximation; Respiratory system; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.750
Filename
4535630
Link To Document