Very large amplitude pseudorandom uniaxial perturbations containing fr
equencies between 0.125 and 12.5 Hz were applied to five dog lung tiss
ue strips. Three different nonlinear block-structured models in nonpar
ametric form were fit to the data. These models consisted of (1) a sta
tic nonlinear block followed by a dynamic linear block (Hammerstein mo
del); (2) the same blocks in reverse order (Wiener model); and (3) the
blocks in parallel (parallel model). Both the Hammerstein and Wiener
models performed well for a given input perturbation, each accounting
for greater than 99% of the measured stress signal variance. However,
the Wiener and parallel model parameters showed some dependence on the
strain amplitude and the mean stress. In contrast, a single Hammerste
in model accounted for the data at all strain amplitudes and operating
stresses. A Hammerstein model featuring a fifth-order polynomial stat
ic nonlinearity and a linear impulse response function of 1 s duration
accounted for the most output variance (99.84%+/-0.13%, mean+/-standa
rd deviations for perturbations of 50% strain at 1.5 kPa stress). The
static nonlinear behavior of the Hammerstein model also matched the qu
asistatic stress-strain behavior obtained at the same strain amplitude
and operating stress. These results show that the static nonlinear be
havior of the dog lung tissue strip is separable from its linear dynam
ic behavior. (C) 1998 Biomedical Engineering Society.