Evidence map›Paper›PMID 33379875›Full record

ArticleThe Journal of the Acoustical Society of America2020

Human forced expiratory noise. Origin, apparatus and possible diagnostic applications.

Vladimir I Korenbaum, Irina A Pochekutova, Anatoly E Kostiv, Veronika V Malaeva, Maria A Safronova, Oksana I Kabantsova, Svetlana N Shin

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2020. 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
0.5field-weighted citation impact, top 29% of its field
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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Pulmonary function estimation using smartphone audio and deep learning.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025
    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

7 authors at 1 institution in 1 country.

Vladimir I KorenbaumPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.ORCID s0000000172702341
Irina A PochekutovaPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.
Anatoly E KostivPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.
Veronika V MalaevaPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.
Maria A SafronovaPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.
Oksana I KabantsovaPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.
Svetlana N ShinPacific Oceanological Institute, Russian Academy of Sciences, 43 Baltiiskaya str., Vladivostok 690041, Russia.
Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forced expiratory (FE) noise is a powerful bioacoustic signal containing information on human lung biomechanics. FE noise is attributed to a broadband part and narrowband components-forced expiratory wheezes (FEWs). FE respiratory noise is composed by acoustic and hydrodynamic mechanisms. An origin of the most powerful mid-frequency FEWs (400-600 Hz) is associated with the 0th-3rd levels of bronchial tree in terms of Weibel [(2009). Swiss Med. Wkly. 139(27-28), 375-386], whereas high-frequency FEWs (above 600 Hz) are attributed to the 2nd-6th levels of bronchial tree. The laboratory prototype of the apparatus is developed, which includes the electret microphone sensor with stethoscope head, a laptop with external sound card, and specially developed software. An analysis of signals by the new method, including FE time in the range from 200 to 2000 Hz and band-pass durations and energies in the 200-Hz bands evaluation, is applied instead of FEWs direct measures. It is demonstrated experimentally that developed FE acoustic parameters correspond to basic indices of lung function evaluated by spirometry and body plethysmography and may be even more sensitive to some respiratory deviations. According to preliminary experimental results, the developed technique may be considered as a promising instrument for acoustic monitoring human lung function in extreme conditions, including diving and space flights. The developed technique eliminates the contact of the sensor with the human oral cavity, which is characteristic for spirometry and body plethysmography. It reduces the risk of respiratory cross-contamination, especially during outpatient and field examinations, and may be especially relevant in the context of the COVID-19 pandemic.

Indexed as

COVID-19AcousticsExhalationHumansNoiseRespiratory SoundsSARS-CoV-2

Identifiers

PMID33379875
PMCPMC7857509
OpenAlexW3107276252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.