Evidence map›Paper›PMID 42877408›Full record

ArticleInterspeech2026

Measuring Vocal Efficiency in Daily Life in Patients with Voice Disorders Using Wireless Accelerometer and Microphone Sensors.

Ahmed M Yousef, Emma C Willis, Vahni Tagirisa, Robert E Hillman, Daryush D Mehta

Abstract read
In one paragraph

Article in Interspeech, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ahmed M YousefCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, USA.
Emma C WillisCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, USA.
Vahni TagirisaCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, USA.
Robert E HillmanCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, USA.
Daryush D MehtaCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, USA.

Funding

Use of ambulatory biofeedback to improve behavioral treatment of vocal hyperfunctionP50DC015446 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Jarrad Van Stan · 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
NIDCD NIH HHS P50 DC015446NIDCD NIH HHS R01 DC019083
6 · The paper itself

Abstract

Voice disorders are linked to inefficient phonation, with vocal efficiency (VE) measured in clinic. We studied ecological vocal efficiency (EVE) by estimating daily-life VE as SPL/Ps (dB/dB) using a wireless dual-sensor voice monitor: subglottal pressure (Ps) predicted from a neck-surface accelerometer (ACC) and sound pressure level (SPL) from a microphone. 14 females participated (7 with vocal fold nodules; 7 matched controls). In lab, VE was computed via a /p/-vowel sequence (loud-to-soft; 3 pitch levels). Participants completed 3 days of ambulatory monitoring (12 h/day), and EVE was computed. Patients showed lower EVE and reduced variability than controls in daily life (4.1 vs 4.7, effect size r = 0.67; SD 0.4 vs 1.0, r = 0.91); variability metrics separated groups better in field than in lab. Patients spent significantly more time outside the EVE normative range than controls (92 vs 36%; p = 0.03; r = 0.81). Preliminary results support EVE as an ecological marker of vocal function.

Indexed as

ambulatory voice monitoringneck-surface accelerometerphonotraumatic vocal hyperfunctionsubglottal pressurevocal efficiency

Identifiers

PMID42877408
PMCPMC13667885

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.