Evidence map›Paper›PMID 39288042›Full record

ArticleIEEE journal of biomedical and health informatics2025

Empirical Distribution of Glottal Edges (EDGE): A Statistical Assessment of Vocal Fold Kinematics Using High-Speed Videoendoscopy.

Emiro J Ibarra, Gabriel E Galindo, Gabriel A Alzamendi, Juan P Cortes, Christian Castro, Rodrigo Manriquez, Alba Testart, Matias Zanartu

Abstract read
In one paragraph

Article in IEEE journal of biomedical and health informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emiro J Ibarra
Gabriel E Galindo
Gabriel A Alzamendi
Juan P Cortes
Christian Castro
Rodrigo Manriquez
Alba Testart
Matias Zanartu

Funding

Use of ambulatory biofeedback to improve behavioral treatment of vocal hyperfunctionP50DC015446 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Robert E Hillman · 2017 to 2026
$25.5M
NIDCD NIH HHS P50 DC015446
6 · The paper itself

Abstract

Although laryngeal high-speed videoendoscopy (HSV) is crucial for studying vocal fold vibrations, its translation to clinical practice has been hindered by the large volume of data it produces and the difficulty in interpreting current analysis methods. Although image processing techniques have been developed to map spatial-temporal data into two-dimensional representations, they alter the geometrical construction of the glottis and do not provide standard quantitative features, thus challenging clinical interpretation. In response, we propose a new visualization and analysis framework for assessing the dynamics of vocal folds based on the empirical distribution of the glottal edge using HSV. This procedure analyzes vocal fold oscillations by preserving the shape of the glottis and quantifying the asymmetry between right and left vocal fold displacements along the anterior-posterior axis. This method was evaluated on four groups of participants: ten with normal voices, ten with vocal fold nodules, ten with muscle tension dysphonia, and two with unilateral vocal fold paralysis. The proposed method produces distinct representations for normal and pathological vocal fold vibratory behaviors and derived features based on amplitude and phase asymmetry metrics that show statistically significant differences between normal and pathological groups. Comparative analysis with state-of-the-art techniques indicates that our proposed method can complement the assessment of vocal fold vibration and enhance the clinical translation of HSV.

Indexed as

GlottisImage Processing, Computer-AssistedLaryngoscopyVideo RecordingVocal CordsAdultAgedBiomechanical PhenomenaFemaleHumansMaleMiddle Aged

Identifiers

PMID39288042
PMCPMC12094672

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.