AIMC Topic: Vocal Cords

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Vocal Fold Augmentation with Beta Glucan Hydrogel Cross-Linked by γ Irradiation for Enhanced Duration of Effect: In Vivo Animal Study.

BioMed research international Dec 13, 2015
This study explored a novel strategy to restore the vocal gap by using cross-linked β-glucan hydrogel by γ-irradiation. An aqueous solution of 5 wt% β-glucan was prepared and cross-linked using (60)Co γ irradiation. Ten nude mice were injected with 0...
Materials Testing Hydrogels Gamma Rays Vocal Cord Paralysis Mice, Inbred BALB C Vocal Cords Animals beta-Glucans Mice Rabbits Mice, Nude
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A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.

Artificial intelligence in medicine Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Principal Component Analysis Video Recording Image Interpretation, Computer-Assisted Pattern Recognition, Automated Wavelet Analysis Reproducibility of Results Vocal Cords Humans Time Factors Aged Female Support Vector Machine Adult Predictive Value of Tests Phonation Biomechanical Phenomena Voice Disorders Male Larynx Laryngoscopy Middle Aged Voice Quality Vibration Case-Control Studies
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Robot-assisted transnasal laryngoplasty in cadaveric models: Quantifying forces and identifying challenges.

The Laryngoscope Feb 3, 2015
OBJECTIVES/HYPOTHESIS: We expanded our prior work with transnasal robotic surgery (TNRS) in this study with the following aims: 1) use a cadaveric model to evaluate the feasibility of laryngoplasty with TNRS, 2) measure robot insertion times and forc...
Natural Orifice Endoscopic Surgery Humans Larynx Laryngoplasty Robotics Nose Vocal Cord Paralysis Vocal Cords
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Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

Journal of voice : official journal of the Voice Foundation May 1, 2025
Neurogenic voice disorders (NVDs) are caused by damage or malfunction of the central or peripheral nervous system that controls vocal fold movement. In this paper, we investigate the potential of the Fisher vector (FV) encoding in automatic detection...
Case-Control Studies Support Vector Machine Predictive Value of Tests Adult Male Middle Aged Speech Acoustics Vocal Cord Paralysis Vocal Cords Voice Disorders Signal Processing, Computer-Assisted Acoustics Sound Spectrography Humans Databases, Factual Female Reproducibility of Results Aged Young Adult Speech Production Measurement Dysphonia Phonation Voice Quality
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A WaveNet-based model for predicting the electroglottographic signal from the acoustic voice signal.

The Journal of the Acoustical Society of America Apr 1, 2025
The electroglottographic (EGG) signal offers a non-invasive approach to analyze phonation. It is known, if not obvious, that the onset of vocal fold contacting has a substantial effect on how the vocal folds vibrate and on the quality of the voice. G...
Humans Adult Neural Networks, Computer Phonation Male Speech Acoustics Retrospective Studies Voice Quality Electrodiagnosis Signal Processing, Computer-Assisted Glottis Female Vocal Cords Young Adult Voice
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Development and validation of an artificial intelligence algorithm for detecting vocal cords in video laryngoscopy.

Medicine Dec 22, 2023
Airway procedures in life-threatening situations are vital for saving lives. Video laryngoscopy (VL) is commonly performed during endotracheal intubation (ETI) in the emergency department. Artificial intelligence (AI) is widely used in the medical fi...
Algorithms Retrospective Studies Vocal Cords Humans Laryngoscopy Artificial Intelligence Intubation, Intratracheal
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A Deep Learning-Based Generalized Empirical Flow Model of Glottal Flow During Normal Phonation.

Journal of biomechanical engineering Sep 1, 2022
This paper proposes a deep learning-based generalized empirical flow model (EFM) that can provide a fast and accurate prediction of the glottal flow during normal phonation. The approach is based on the assumption that the vibration of the vocal fold...
Vibration Phonation Glottis Deep Learning Computer Simulation Models, Biological Vocal Cords
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Measurement of laryngeal elevation by automated segmentation using Mask R-CNN.

Medicine Dec 23, 2021
The methods of measuring laryngeal elevation during swallowing are time-consuming. We aimed to propose a quick-to-use neural network (NN) model for measuring laryngeal elevation quantitatively using anatomical structures auto-segmented by Mask region...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Larynx Magnetic Resonance Imaging Vocal Cords
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