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Related Concept Videos

Bode Plots01:26

Bode Plots

Bode plots are graphical tools that use logarithmic scales for frequency on the x-axis and gain in decibels on the y-axis. This logarithmic method allows a wide range of frequencies to be compactly displayed, enabling the analysis of component effects on circuit behavior across a broad frequency spectrum.
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Respiratory Depth
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Bode Plots Construction

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Forced Oscillations01:06

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Related Experiment Video

Updated: Jul 8, 2026

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
10:13

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

Phonovibrogram visualization of entire vocal fold dynamics.

Jörg Lohscheller1, Ulrich Eysholdt

  • 1Department of Phoniatrics and Pediatric Audiology, University Hospital Erlangen, Erlangen, Germany. joerg.lohscheller@uk-erlangen.de

The Laryngoscope
|January 25, 2008
PubMed
Summary
This summary is machine-generated.

Phonovibrogram (PVG) images visualize vocal fold vibrations from high-speed videos, aiding in differentiating normal and pathological voices. This method enhances objective voice disorder assessment for improved clinical decision-making.

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Area of Science:

  • Laryngology
  • Bioacoustics
  • Medical Imaging

Background:

  • High-speed (HS) video recordings are essential for visualizing irregular vocal fold vibrations.
  • Manual evaluation of HS videos is time-consuming and prone to high inter-rater variability, limiting objective assessment.

Purpose of the Study:

  • To introduce a novel visualization procedure for vocal fold vibrations.
  • To overcome the limitations of subjective assessment in HS video analysis of voice disorders.

Main Methods:

  • A visualization procedure was developed to extract vocal fold vibration data from HS videos.
  • This data is transformed into three phonovibrogram (PVG) images representing displacements (PVG-0), velocities (PVG-1), and accelerations (PVG-2).

Main Results:

  • The PVG computation principles are presented with applications to normal voice, laryngeal nerve paralysis, and functional voice disorder with vocal nodules.
  • PVG images effectively display the dynamic patterns of vocal fold displacements, velocities, and accelerations in both normal and dysphonic subjects.

Conclusions:

  • The PVG approach provides easy-to-read color images visualizing the full range of vocal fold motion, facilitating differentiation between normal and pathological voices.
  • PVG images are printable and storable, enabling robust documentation of voice disorder progression crucial for evidence-based medicine.
  • PVG visualization offers a valuable tool with broad clinical applicability, potentially overcoming the subjectivity of HS video assessment.