Title :
Parameter Estipiates in a Five-Element Respiratory Mechanical Model
Author :
Eyles, J.G. ; Pimmel, R.L. ; Fullten, J.M. ; Bromberg, P.A.
Author_Institution :
Department of Medicine, University of North Carolina
fDate :
6/1/1982 12:00:00 AM
Abstract :
Using four sets of forced random noise impedance data from each of five normal subjects and five patients with obstructuve lung disease, we computed parameter estimates for a three-element series model and a five-element parallel compartment model. For normal subjects, the five-element model provided no better fit to the impedance data than did the simple series model. Estimates obtained from normal subjects using this three-element model were reasonable and reproducible within 25 percent. For all subjects with lung disease, the five-element model provided a significantly (p 0.05) better fit than the three-element model. Estimates for parameters representing central inertance and resistance, airway compliance, and peripheral resistance were reasonable and reproducible-within 18 percent. However, estimates for the compliance of the lung and chest wall were more variable since measured impedance appeared to be insensitive to this parameter in the frequency range used.
Keywords :
Concurrent computing; Diseases; Frequency estimation; Frequency measurement; Immune system; Impedance measurement; Iterative algorithms; Lungs; Parameter estimation; Respiratory system; Adult; Aged; Airway Resistance; Female; Humans; Lung Compliance; Lung Diseases, Obstructive; Male; Mathematics; Middle Aged; Models, Biological; Respiratory Function Tests;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1982.324974