Journal of Applied Physiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Appl Physiol 69: 1538-1541, 1990;
8750-7587/90 $5.00
This Article
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Eidelman, D. H.
Right arrow Articles by Bates, J. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Eidelman, D. H.
Right arrow Articles by Bates, J. H.

Journal of Applied Physiology, Vol 69, Issue 4 1538-1541, Copyright © 1990 by American Physiological Society


ARTICLES

Exponential fitting of pressure-volume curves: confidence limits and sensitivity to noise

D. H. Eidelman, H. Ghezzo and J. H. Bates
Meakins-Christie Laboratories, McGill University Clinic, Montreal General Hospital, Quebec, Canada.

It has recently become common to model the static pressure-volume curve of the lung as a monoexponential function of the form V = A - Be-KP, where V is volume and P is transpulmonary pressure. The parameters A, B, and particularly K have been employed as descriptors of the intrinsic mechanical properties of the lung. The purpose of the present study was to investigate the sensitivities of A, B, and K to noise in measurements of P and V and to incompleteness of data. Using Monte-Carlo simulation, we found that the presence of typical levels of noise in P led to biased estimates of K and that the 95% confidence intervals about A and K were large compared with the parameter values themselves. These effects were increased as points were systematically removed from either end of the data set. These findings show that values of K estimated from PV data are difficult to interpret without accompanying confidence intervals.


This article has been cited by other articles:


Home page
J. Appl. Physiol.Home page
D. Chon, K. C. Beck, B. A. Simon, H. Shikata, O. I. Saba, and E. A. Hoffman
Effect of low-xenon and krypton supplementation on signal/noise of regional CT-based ventilation measurements
J Appl Physiol, April 1, 2007; 102(4): 1535 - 1544.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
B. A. Simon, C. Marcucci, M. Fung, and S. R. Lele
Parameter estimation and confidence intervals for Xe-CT ventilation studies: a Monte Carlo approach
J Appl Physiol, February 1, 1998; 84(2): 709 - 716.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
J. G. Venegas, R. S. Harris, and B. A. Simon
A comprehensive equation for the pulmonary pressure-volume curve
J Appl Physiol, January 1, 1998; 84(1): 389 - 395.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online