Fitting synthetic to clinical kymographic images for deriving kinematic vocal fold parameters: Application to left-right vibratory phase differences

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73602602" target="_blank" >RIV/61989592:15310/21:73602602 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1746809420303815" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1746809420303815</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2020.102253" target="_blank" >10.1016/j.bspc.2020.102253</a>

Result language

angličtina

Original language name

Fitting synthetic to clinical kymographic images for deriving kinematic vocal fold parameters: Application to left-right vibratory phase differences

Original language description

In this paper we present the extraction of kinematic vocal fold parameters from videokymographic images and the visual estimation of phase differences between the left and right vocal folds. We used a model of vocal fold vibrations with kinematic parameters to generate synthetic kymograms. To extract kinematic model parameters from the images, we propose a fitting procedure for error minimization. We used the “Structural Dissimilarity Index Measure” (DSSIM) and the “Cross Uncorrelation” (CUC) as error measures. The minimization procedure was used to evaluate 55 clinical kymograms and two sets of 50 synthetic kymograms each. The two sets of synthetic kymograms were generated using the probability density functions (PDFs) of the model parameters, which were obtained by fitting the clinical kymograms using the two error measures. The relative parameter estimation errors range up to 15% for the most important parameters, indicating acceptable performance of the fitting procedure. Additionally, the phase difference was assessed by three observers with integer ratings ranging from 0 (negligible) to 3 (large phase difference). The Fleiss’ Kappa of 0.46 and its standard error 0.03 indicated a moderate agreement among the three observers. ROC analysis was carried out for estimating thresholds for predicting the ratings. Moderate to good prediction accuracies (0.69–0.91) for the clinical corpus and very good prediction accuracy (0.92–1.00) for the synthetic corpora were observed.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10610 - Biophysics

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)

Publication year

2021

Confidentiality

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

Name of the periodical

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

—

Volume of the periodical

63

Issue of the periodical within the volume

JAN

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

"102253-1"-"102253-14"

UT code for WoS article

000591530000004

EID of the result in the Scopus database

2-s2.0-85092432453