Literature DB >> 18050022

[Diagnosis of functional voice disorders by using the high speed recording technics].

T Braunschweig1, P Schelhorn-Neise, M Döllinger.   

Abstract

INTRODUCTION: Malfunctions of the human voice with unknown causes are denoted by "functional voice disorders". The high speed video imaging technique (HVT) allows the recording of the oscillating vocal folds in real time. A new method is presented, describing different types of oscillation and their onset mathematically. A precise classification of the kind of functional voice disorders is possible.
METHODS: For 71 young women, from the HVT recordings two parameters were mathematically estimated, reflecting the phonation onset dynamics: The threshold value A(th), corresponding with the myoelastic tone of the vocal folds and a maximum sound pressure level of speech L(max), characterising the efficiency of voice.
RESULTS: Both values are sensitive for functional voice disorders and enable a differentiation between these pathologies. DISCUSSION: Significant differences of the computed parameters between the pathological groups and normal voices substantiate the presented method as a stable and objective tool for medical diagnosis.

Entities:  

Mesh:

Year:  2007        PMID: 18050022     DOI: 10.1055/s-2007-967068

Source DB:  PubMed          Journal:  Laryngorhinootologie        ISSN: 0935-8943            Impact factor:   1.057


  3 in total

Review 1.  Advances in laryngeal imaging.

Authors:  Antanas Verikas; Virgilijus Uloza; Marija Bacauskiene; Adas Gelzinis; Edgaras Kelertas
Journal:  Eur Arch Otorhinolaryngol       Date:  2009-07-19       Impact factor: 2.503

2.  Computation of physiological human vocal fold parameters by mathematical optimization of a biomechanical model.

Authors:  Anxiong Yang; Michael Stingl; David A Berry; Jorg Lohscheller; Daniel Voigt; Ulrich Eysholdt; Michael Dollinger
Journal:  J Acoust Soc Am       Date:  2011-08       Impact factor: 1.840

3.  Biomechanical modeling of the three-dimensional aspects of human vocal fold dynamics.

Authors:  Anxiong Yang; Jörg Lohscheller; David A Berry; Stefan Becker; Ulrich Eysholdt; Daniel Voigt; Michael Döllinger
Journal:  J Acoust Soc Am       Date:  2010-02       Impact factor: 1.840

  3 in total

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