Evidence map›Paper›PMID 34183695›Full record

ArticleScientific reports2021

Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders.

Pranav Gupta, Haoran Wen, Lorenzo Di Francesco, Farrokh Ayazi

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
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  12. Sound-guided assessment and localization of pulmonary air leak.Bioengineering & translational medicine · 2023
    Article
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  15. Updated Perspectives on the Role of Biomechanics in COPD: Considerations for the Clinician.International journal of chronic obstructive pulmonary disease · 2022
    Review
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

4 authors at 3 institutions in 1 country.

Pranav GuptaGeorgia Institute of Technology, Atlanta, GA, 30308, USA. pgupta97@gatech.edu.
Haoran WenStethX Microsystems, Atlanta, GA, 30308, USA.
Lorenzo Di FrancescoDepartment of Medicine, Division of General Internal Medicine, Emory University, Atlanta, GA, 30303, USA.
Farrokh AyaziKen Byers Professor in Microsystems, Georgia Institute of Technology, Atlanta, GA, 30308, USA. ayazi@gatech.edu.
Georgia Institute of Technology · USEmory University · USOracle (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring pathological mechano-acoustic signals emanating from the lungs is critical for timely and cost-effective healthcare delivery. Adventitious lung sounds including crackles, wheezes, rhonchi, bronchial breath sounds, stridor or pleural rub and abnormal breathing patterns function as essential clinical biomarkers for the early identification, accurate diagnosis and monitoring of pulmonary disorders. Here, we present a wearable sensor module comprising of a hermetically encapsulated, high precision accelerometer contact microphone (ACM) which enables both episodic and longitudinal assessment of lung sounds, breathing patterns and respiratory rates using a single integrated sensor. This enhanced ACM sensor leverages a nano-gap transduction mechanism to achieve high sensitivity to weak high frequency vibrations occurring on the surface of the skin due to underlying lung pathologies. The performance of the ACM sensor was compared to recordings from a state-of-art digital stethoscope, and the efficacy of the developed system is demonstrated by conducting an exploratory research study aimed at recording pathological mechano-acoustic signals from hospitalized patients with a chronic obstructive pulmonary disease (COPD) exacerbation, pneumonia, and acute decompensated heart failure. This unobtrusive wearable system can enable both episodic and longitudinal evaluation of lung sounds that allow for the early detection and/or ongoing monitoring of pulmonary disease.

Indexed as

AccelerometryAdultAgedAuscultationCheyne-Stokes RespirationDigital TechnologyEarly DiagnosisEquipment DesignHeart FailureHumansLung DiseasesMaleMiddle AgedPneumoniaPulmonary Disease, Chronic ObstructiveRespiration

Identifiers

PMID34183695
PMCPMC8238985
OpenAlexW3173531620

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.