Dw. Kaczka et al., ASSESSMENT OF TIME-DOMAIN ANALYSES FOR ESTIMATION OF LOW-FREQUENCY RESPIRATORY MECHANICAL-PROPERTIES AND IMPEDANCE SPECTRA, Annals of biomedical engineering, 23(2), 1995, pp. 135-151
Time-domain estimation has been invoked for tracking of respiratory me
chanical properties using primarily a simple single-compartment model
containing a series resistance (R(rs)) and elastance (E(rs)). However,
owing to the viscoelastic proper ties of respiratory tissues, R(rs) a
nd E(rs) exhibit frequency dependence below 2 Hz. The goal of this stu
dy was to investigate the bias and statistical accuracy of various tim
e-domain approaches with respect to model properties, as well as the e
stimated impedance spectra. Particular emphasis was placed on establis
hing the tracking capability using a standard step ventilation. A simu
lation study compared continuous-time versus discrete-time approaches
for both the single-compartment and two-compartment models. Data were
acquired in four healthy humans and two dogs before and after induced
severe pulmonary edema while applying sinusoidal and standard ventilat
or forcing. R(rs) and E(rs) were estimated either by the standard Fast
Fourier Transform (FFT) approach or by a time-domain least square est
imation. Results show that the continuous-time model form produced the
least bias and smallest parameter uncertainty for a single-compartmen
t analysis and is quite amenable for reliable on-line tracking. The di
screte-time approach exhibits large uncertainty and bias, particularly
with increasing noise in the flow data. In humans, the time-domain ap
proach produced smooth estimates of R(rs) and E(rs) spectra, but they
were statistically unreliable at the lower frequencies. In dogs, both
the FFT and time-domain analysis produced reliable and stable estimate
s for R(rs) or E(rs) spectra for frequencies out to 2 Hz in all condit
ions. Nevertheless, obtaining stable on-line parameter estimates for t
he two-compartment viscoelastic models remained difficult. We conclude
that time-domain analysis of respiratory mechanics should invoke a co
ntinuous-time model form.