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Updated: Jun 26, 2025
10:13
Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
Published on: November 25, 2017
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Visualization and Analysis of Vocal Fold Dynamics in Various Voice Disorders
B Panchami1, S Pravin Kumar1, Ketaki Vasant Phadke2
1Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamil Nadu, India.
Summary
Visualization techniques like phonovibrograms (PVG) and glottovibrograms (GVG) reveal distinct vocal fold vibration patterns in disorders like leukoplakia, laryngitis, and papilloma, aiding objective diagnosis.
Area of Science:
- Laryngology and Voice Science
- Biomedical Engineering
- Diagnostic Imaging
Background:
- Vocal fold pathologies such as leukoplakia, laryngitis, and papilloma significantly alter glottal dynamics.
- Objective diagnostic methods are crucial for differentiating these conditions and guiding treatment.
- Existing visualization techniques offer insights but may not fully capture complex vibratory patterns.
Purpose of the Study:
- To compare the glottal dynamics of vocal fold leukoplakia, laryngitis, and papilloma using advanced visualization techniques.
- To hypothesize that phonovibrograms (PVG) and glottovibrograms (GVG) can elucidate vibratory dynamics for objective diagnosis.
- To derive visual features from these techniques for potential computer-assisted classification of voice disorders.
Main Methods:
- Comparative analysis of vocal fold disorders using high-speed video endoscopy.
- Application of phonovibrograms (PVG), derivative of PVG (PVG-1), digital kymograms (DKG), and glottovibrograms (GVG) to analyze glottal dynamics.
- Visualization and analysis of vibratory patterns during different phonation stages (open, closed, closing, opening).
Main Results:
- Distinct modifications in vocal fold vibration patterns were documented across healthy and pathological states (leukoplakia, laryngitis, papilloma).
- Healthy vocal folds exhibited regular periodic vibrations, while pathologies showed unique features reflecting structural and functional variations.
- The employed visualization techniques successfully identified both structural irregularities and functional deviations in vocal fold vibrations.
Conclusions:
- Comparative analyses using PVG and other visualization techniques enhance understanding of voice disorder glottal dynamics.
- Offline analysis techniques like PVG and GVG are valuable for tracking dynamics and assessing treatment efficacy over time.
- Standardizing PVG-based diagnostic criteria and developing classification tools are key for improved clinical management of vocal fold pathologies.
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