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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JR - Other machinery industry

  • OECD FORD branch

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

  • 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