Dynamic collapse of the pulmonary airways, leading to flow limitation, is a
significant event in a number of respiratory pathologies, including obstru
ctive sleep apnea syndrome and chronic obstructive pulmonary disease. Quant
itative evaluation of the mechanical status of the respiratory system in th
ese conditions provides useful insights into airway caliber and tissue stif
fness, which are hallmarks of such abnormalities. However, assessing respir
atory mechanics in the presence of flow limitation is problematic because t
he single-compartment linear model on which most assessment methods are bas
ed is not valid over the entire breath. Indeed, even deciding which parts o
f a breath are flow limited from measurement of mouth flow and pleural pres
sure often proves to be difficult. In this study, me investigated the use o
f two approaches to assessing the overall mechanical properties of the resp
iratory system in the presence of inspiratory flow limitation. The first me
thod is an adaptation of the classic Mead-Whittenberger method, and the sec
ond method is based on information-weighted histograms obtained from recurs
ively estimated signals of respiratory resistance and elastance. We tested
the methods on data simulated by using a computer model of the respiratory
system and on data collected from obese sleeping pigs. We found that the in
formation-weighted histograms provided the more robust overall estimates of
respiratory mechanics.