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Extracting vocal fold kinematic parameters from videokymograms via simulation of clinically observed data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73596494" target="_blank" >RIV/61989592:15310/19:73596494 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extracting vocal fold kinematic parameters from videokymograms via simulation of clinically observed data

  • Original language description

    This paper proposes the extraction of vocal fold parameters from videokymographic images. A previously developed model of vocal fold vibrations is generalized to include left-right phase differences and paramedian collisions of the vocal folds. A model fitting error minimization procedure is implemented in order to extract kinematic parameters. 55 clinical and 50 synthetic kymograms are used to evaluate the procedure using the “Structural Dissimilarity Index Measure” (DSSIM) and the “Cross Uncorrelation” (CUC) as error measures. After fitting the clinical kymograms, probability density functions (PDFs) of the model parameters are obtained. The PDFs are used to generate synthetic kymograms with random parameters. The synthetic kymograms are used to evaluate the performance of the fitting procedure by measuring the errors between the randomly generated parameter values and those obtained through the fitting procedure. The relative error ranged between 0.052% and 44.95%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10610 - Biophysics

Result continuities

  • Project

    <a href="/en/project/GA19-04477S" target="_blank" >GA19-04477S: Modelling and measurements of fluid-structure-acoustic interactions in biomechanics of human voice production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings MAVEBA 2019: Models and analysis of vocal emissions for biomedical applications. 11th international workshop, December 17-19, 2019

  • ISBN

    978-88-6453-961-4

  • ISSN

    2704-5846

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    141-144

  • Publisher name

    Firenze University Press

  • Place of publication

    Firenze

  • Event location

    Firenze

  • Event date

    Dec 17, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article