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Updated: Jul 14, 2026

Manufacturing Process for Non-Adhesive Super-Soft Vocal Fold Models
Published on: January 5, 2024
[Phonovibrogram: vocal fold dynamics integrated within a single image]
1Abteilung für Phoniatrie und Pädaudiologie, Universitätsklinikum Erlangen, Erlangen, Germany. eysholdt@phoni.imed.uni-erlangen.de
Phonovibrogram (PVG) analysis of high-speed video imaging simplifies vocal fold motion interpretation. This automated image processing aids in recognizing patterns for better clinical assessment of voice disorders.
Area of Science:
- Laryngology
- Medical Imaging
- Biomedical Engineering
Context:
- Stroboscopy is limited for examining hoarse voices.
- High-speed (HS) video imaging offers better visualization of vocal fold dynamics.
- Offline analysis of video recordings is time-consuming and pattern recognition is challenging.
Purpose:
- To introduce the phonovibrogram (PVG) as an image-processing algorithm.
- To extract and compress vocal fold motions from HS laryngoscopic video into a single image.
- To simplify the interpretation of complex vocal fold dynamics.
Summary:
- The phonovibrogram (PVG) algorithm processes entire laryngoscopic HS video recordings of vocal folds.
- It automatically compresses dynamic motion data into a single, interpretable image.
- PVG reveals distinct, person-specific patterns that can be categorized geometrically, aiding human observers.
Impact:
- PVG facilitates easier recognition and interpretation of vocal fold motion patterns compared to dynamic analysis.
- It enhances the clinical utility of HS laryngoscopic video recordings through automatic image processing.
- PVG shows promise for clinical validation in diagnosing voice conditions.
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