DocumentCode :
406617
Title :
Parametric sensitivity analysis of human respiratory impedance
Author :
Lorandi, L. ; Diong, B. ; Nava, P. ; Solis, F. ; Menendez, R. ; Ortiz, G. ; Nazeran, H.
Author_Institution :
Dept. of Mechanical & Industrial Eng., Texas Univ., El Paso, TX, USA
Volume :
1
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
778
Abstract :
Measurements of the respiratory impedance in humans are a means to help diagnose underdevelopment and/or pathological conditions. Various models of the human respiratory system of varying complexity and fidelity have been developed for study to enable greater specificity of the diagnosis. In this paper, a parametric sensitivity analysis that was performed on the respiratory impedance of four different respiratory system models is described. The results of this analysis can be used to obtain valuable information on how certain respiratory system parameter variations affect the respiratory impedance at different frequencies. Such an analysis can help determine the optimal input excitation characteristics to more accurately extract particular model component values. Then calculated reference values can be more precise and form a more reliable baseline for diagnosing specific physiologic and pathologic changes in the respiratory system. The sensitivities derived for each parameter of the four models, and their plots using normal values for the lung mechanics of low birth weight newborns are provided. An example of the interpretation and usefulness of sensitivity functions is also presented.
Keywords :
biomedical measurement; lung; patient diagnosis; physiological models; pneumodynamics; sensitivity; human respiratory impedance; low birth weight newborns; lung mechanics; model component values; parametric sensitivity analysis; respiratory system models; Data mining; Frequency; Humans; Impedance measurement; Information analysis; Lungs; Pathology; Pediatrics; Respiratory system; Sensitivity analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1279880
Filename :
1279880
Link To Document :
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