Biomechanical Modeling of the Three-dimensional Aspects of Human Vocal Fold Dynamics

Overview

Journal J Acoust Soc Am

Publisher American Institute of Physics

Specialty Otorhinolaryngology

Date 2010 Feb 9

PMID 20136223

Citations 13

Authors

Anxiong Yang

Jorg Lohscheller

David A Berry

Stefan Becker

Ulrich Eysholdt

Daniel Voigt

Michael Dollinger

Affiliations

Soon will be listed here.

Abstract

Human voice originates from the three-dimensional (3D) oscillations of the vocal folds. In previous studies, biomechanical properties of vocal fold tissues have been predicted by optimizing the parameters of simple two-mass-models to fit its dynamics to the high-speed imaging data from the clinic. However, only lateral and longitudinal displacements of the vocal folds were considered. To extend previous studies, a 3D mass-spring, cover-model is developed, which predicts the 3D vibrations of the entire medial surface of the vocal fold. The model consists of five mass planes arranged in vertical direction. Each plane contains five longitudinal, mass-spring, coupled oscillators. Feasibility of the model is assessed using a large body of dynamical data previously obtained from excised human larynx experiments, in vivo canine larynx experiments, physical models, and numerical models. Typical model output was found to be similar to existing findings. The resulting model enables visualization of the 3D dynamics of the human vocal folds during phonation for both symmetric and asymmetric vibrations.

Citing Articles

Neural network-based estimation of biomechanical vocal fold parameters.

Donhauser J, Tur B, Dollinger M Front Physiol. 2024; 15:1282574.

PMID: 38449783 PMC: 10916882. DOI: 10.3389/fphys.2024.1282574.

Biomechanical simulation of vocal fold dynamics in adults based on laryngeal high-speed videoendoscopy.

Dollinger M, Gomez P, Patel R, Alexiou C, Bohr C, Schutzenberger A PLoS One. 2017; 12(11):e0187486.

PMID: 29121085 PMC: 5679561. DOI: 10.1371/journal.pone.0187486.

A finite element study on the cause of vocal fold vertical stiffness variation.

Geng B, Xue Q, Zheng X J Acoust Soc Am. 2017; 141(4):EL351.

PMID: 28464635 PMC: 5724730. DOI: 10.1121/1.4978363.

Comprehensive, Population-Based Sensitivity Analysis of a Two-Mass Vocal Fold Model.

Robertson D, Zanartu M, Cook D PLoS One. 2016; 11(2):e0148309.

PMID: 26845452 PMC: 4742229. DOI: 10.1371/journal.pone.0148309.

[Current methods for modelling voice production].

DOLLINGER M, Kniesburges S, Kaltenbacher M, Echternach M HNO. 2016; 64(2):82-90.

PMID: 26746639 DOI: 10.1007/s00106-015-0110-x.

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