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Advisor(s)
Abstract(s)
This paper reports on the analysis of tidal breathing
patterns measured during noninvasive forced oscillation lung
function tests in six individual groups. The three adult groups
were healthy, with prediagnosed chronic obstructive pulmonary
disease, and with prediagnosed kyphoscoliosis, respectively. The
three children groups were healthy, with prediagnosed asthma,
and with prediagnosed cystic fibrosis, respectively. The analysis
is applied to the pressure–volume curves and the pseudophaseplane
loop by means of the box-counting method, which gives a
measure of the area within each loop. The objective was to verify
if there exists a link between the area of the loops, power-law
patterns, and alterations in the respiratory structure with disease.
We obtained statistically significant variations between the data
sets corresponding to the six groups of patients, showing also the
existence of power-law patterns. Our findings support the idea that
the respiratory system changes with disease in terms of airway
geometry and tissue parameters, leading, in turn, to variations in
the fractal dimension of the respiratory tree and its dynamics.
Description
Keywords
Correlation Delay Forced oscillation Fractal dimension Geometrical mapping Homothety factor Lung function test Phase plot Respiratory impedance