Literature DB >> 29680310

Vocal fold contact patterns based on normal modes of vibration.

Simeon L Smith1, Ingo R Titze2.   

Abstract

The fluid-structure interaction and energy transfer from respiratory airflow to self-sustained vocal fold oscillation continues to be a topic of interest in vocal fold research. Vocal fold vibration is driven by pressures on the vocal fold surface, which are determined by the shape of the glottis and the contact between vocal folds. Characterization of three-dimensional glottal shapes and contact patterns can lead to increased understanding of normal and abnormal physiology of the voice, as well as to development of improved vocal fold models, but a large inventory of shapes has not been directly studied previously. This study aimed to take an initial step toward characterizing vocal fold contact patterns systematically. Vocal fold motion and contact was modeled based on normal mode vibration, as it has been shown that vocal fold vibration can be almost entirely described by only the few lowest order vibrational modes. Symmetric and asymmetric combinations of the four lowest normal modes of vibration were superimposed on left and right vocal fold medial surfaces, for each of three prephonatory glottal configurations, according to a surface wave approach. Contact patterns were generated from the interaction of modal shapes at 16 normalized phases during the vibratory cycle. Eight major contact patterns were identified and characterized by the shape of the flow channel, with the following descriptors assigned: convergent, divergent, convergent-divergent, uniform, split, merged, island, and multichannel. Each of the contact patterns and its variation are described, and future work and applications are discussed.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Contact area; Glottal geometry; Medial surface; Normal mode vibration; Vocal fold biomechanics

Mesh:

Year:  2018        PMID: 29680310      PMCID: PMC5935250          DOI: 10.1016/j.jbiomech.2018.04.011

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  35 in total

1.  Spatio-temporal analysis of irregular vocal fold oscillations: biphonation due to desynchronization of spatial modes.

Authors:  J Neubauer; P Mergell; U Eysholdt; H Herzel
Journal:  J Acoust Soc Am       Date:  2001-12       Impact factor: 1.840

2.  Unsteady laryngeal airflow simulations of the intra-glottal vortical structures.

Authors:  Mihai Mihaescu; Sid M Khosla; Shanmugam Murugappan; Ephraim J Gutmark
Journal:  J Acoust Soc Am       Date:  2010-01       Impact factor: 1.840

3.  Analysis of flow-structure interaction in the larynx during phonation using an immersed-boundary method.

Authors:  Haoxiang Luo; Rajat Mittal; Steven A Bielamowicz
Journal:  J Acoust Soc Am       Date:  2009-08       Impact factor: 1.840

4.  Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction.

Authors:  Matías Zañartu; Gabriel E Galindo; Byron D Erath; Sean D Peterson; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2014-12       Impact factor: 1.840

5.  Intraglottal geometry and velocity measurements in canine larynges.

Authors:  Liran Oren; Sid Khosla; Ephraim Gutmark
Journal:  J Acoust Soc Am       Date:  2014-01       Impact factor: 1.840

6.  Modeling the glottal volume-velocity waveform for three voice types.

Authors:  D G Childers; C Ahn
Journal:  J Acoust Soc Am       Date:  1995-01       Impact factor: 1.840

7.  Interpretation of biomechanical simulations of normal and chaotic vocal fold oscillations with empirical eigenfunctions.

Authors:  D A Berry; H Herzel; I R Titze; K Krischer
Journal:  J Acoust Soc Am       Date:  1994-06       Impact factor: 1.840

8.  Pressure-flow relationships in two models of the larynx having rectangular glottal shapes.

Authors:  R C Scherer; I R Titze; J F Curtis
Journal:  J Acoust Soc Am       Date:  1983-02       Impact factor: 1.840

9.  An immersed-boundary method for flow-structure interaction in biological systems with application to phonation.

Authors:  Haoxiang Luo; Rajat Mittal; Xudong Zheng; Steven A Bielamowicz; Raymond J Walsh; James K Hahn
Journal:  J Comput Phys       Date:  2008-11-20       Impact factor: 3.553

Review 10.  Improvement of vocal pathologies diagnosis using high-speed videolaryngoscopy.

Authors:  Domingos Hiroshi Tsuji; Adriana Hachiya; Maria Eugenia Dajer; Camila Cristina Ishikawa; Marystella Tomoe Takahashi; Arlindo Neto Montagnoli
Journal:  Int Arch Otorhinolaryngol       Date:  2014-04-02
View more
  3 in total

1.  LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production.

Authors:  Hasini R Weerathunge; Gabriel A Alzamendi; Gabriel J Cler; Frank H Guenther; Cara E Stepp; Matías Zañartu
Journal:  PLoS Comput Biol       Date:  2022-06-23       Impact factor: 4.779

2.  A Deep Learning-Based Generalized Empirical Flow Model of Glottal Flow During Normal Phonation.

Authors:  Yang Zhang; Weili Jiang; Luning Sun; Jianxun Wang; Xudong Zheng; Qian Xue
Journal:  J Biomech Eng       Date:  2022-09-01       Impact factor: 1.899

3.  A Deep Neural Network Based Glottal Flow Model for Predicting Fluid-Structure Interactions during Voice Production.

Authors:  Yang Zhang; Xudong Zheng; Qian Xue
Journal:  Appl Sci (Basel)       Date:  2020-01-19       Impact factor: 2.679

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.