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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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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
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