Application of statistical methods in human airway flow analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F12%3APU98955" target="_blank" >RIV/00216305:26210/12:PU98955 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.2495/AFM120491" target="_blank" >http://dx.doi.org/10.2495/AFM120491</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2495/AFM120491" target="_blank" >10.2495/AFM120491</a>
Alternative languages
Result language
angličtina
Original language name
Application of statistical methods in human airway flow analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JR - Other machinery industry
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Conference on Advances in Fluid Mechanics - Advances in Fluid Mechanics IX
ISBN
9781845646004
ISSN
1743-3533
e-ISSN
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Number of pages
13
Pages from-to
571-583
Publisher name
WIT Press
Place of publication
Ashurst, Southampton, UK
Event location
Split
Event date
Jun 26, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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