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 :
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