Application Of Statistical Methods In
Human Airway Flow Analysis
Author(s)
F. Lizal, M. Fusek, J. Jedelsky & M. Jicha
Abstract
Understanding of the air flow in human airways is the cornerstone for targeted
delivery of a medication to the lungs. Direct in-vivo measurement in lungs is
complicated; therefore in-vitro measurements in human lung models are
frequently performed employing optical measurement methods. Irregularly
sampled data acquired by Phase Doppler Anemometry in various locations of a
model of human lungs for different breathing conditions were statistically
processed to facilitate comparison and influence of diverse factors on the lung
airflow. Tests based on signs of differences, Kendall’s rank correlation
coefficient test and Spearman’s rank correlation coefficient test were used to
detect a linear trend between the samples, while a median test of randomness and
a turning point test were used to detect differences of a periodical nature. The
presented statistical tools allow detection of inter-cycle variability in velocity
course as well as evaluation of the influence of breathing pattern change or
gradual flow development in an airway. Application of the above mentioned
methods on our data confirmed the essential influence of lung geometry on flow
profiles and revealed remarkable flow behaviour in the main bronchi. Usability
of the statistical tools is not limited to measurements in human lung models, but
can be extended to any flow measurements, for comparison of irregularly and
regularly sampled data and also for comparison of numerical simulations with
experiments.
Keywords: flow analysis, human airways, lung flow, statistical analysis, airflow
measurement.
Keywords
flow analysis, human airways, lung flow, statistical analysis, airflow
measurement.
Related Book
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