Evidence map›Paper›PMID 36777332›Full record

ArticleApplied sciences (Basel, Switzerland)2022

Ambulatory Monitoring of Subglottal Pressure Estimated from Neck-Surface Vibration in Individuals with and without Voice Disorders.

Juan P Cortés, Jon Z Lin, Katherine L Marks, Víctor M Espinoza, Emiro J Ibarra, Matías Zañartu, Robert E Hillman, Daryush D Mehta

Abstract read
In one paragraph

Article in Applied sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Vocal Fold Dissipated Power in Females with Hyperfunctional Voice Disorders.Journal of voice : official journal of the Voice Foundation · 2024
    Article
  9. 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.

Juan P CortésCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, MA 02114, USA.
Jon Z LinCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, MA 02114, USA.
Katherine L MarksCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, MA 02114, USA.
Víctor M EspinozaDepartment of Sound, Universidad de Chile, Santiago 8380453, Chile.
Emiro J IbarraDepartment of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile.
Matías ZañartuDepartment of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso 2390123, Chile.
Robert E HillmanCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, MA 02114, USA.
Daryush D MehtaCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston, MA 02114, USA.

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
Ambulatory monitoring of a vocal efficiency index to improve the clinical management of voice disordersR01DC019083 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI MEHTA, DARYUSH DINYAR · 2021 to 2025
$1.8M
Non-invasive estimation of subglottal pressure during natural speech to improve clinical voice assessmentR21DC015877 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI MEHTA, DARYUSH DINYAR · 2017 to 2019
$513k
NIDCD NIH HHS P50 DC015446NIDCD NIH HHS R01 DC019083NIDCD NIH HHS R21 DC015877
6 · The paper itself

Abstract

The aerodynamic voice assessment of subglottal air pressure can discriminate between speakers with typical voices from patients with voice disorders, with further evidence validating subglottal pressure as a clinical outcome measure. Although estimating subglottal pressure during phonation is an important component of a standard voice assessment, current methods for estimating subglottal pressure rely on non-natural speech tasks in a clinical or laboratory setting. This study reports on the validation of a method for subglottal pressure estimation in individuals with and without voice disorders that can be translated to connected speech to enable the monitoring of vocal function and behavior in real-world settings. During a laboratory calibration session, a participant-specific multiple regression model was derived to estimate subglottal pressure from a neck-surface vibration signal that can be recorded during natural speech production. The model was derived for vocally typical individuals and patients diagnosed with phonotraumatic vocal fold lesions, primary muscle tension dysphonia, and unilateral vocal fold paralysis. Estimates of subglottal pressure using the developed method exhibited significantly lower error than alternative methods in the literature, with average errors ranging from 1.13 to 2.08 cm H

Indexed as

ambulatory voice monitoringclinical voice assessmentneck-surface accelerometersubglottal pressure

Identifiers

PMID36777332
PMCPMC9910342

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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.