Evidence map›Paper›PMID 32128449›Full record

ArticleNPJ digital medicine2020

Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals.

Pranav Gupta, Mohammad J Moghimi, Yaesuk Jeong, Divya Gupta, Omer T Inan, Farrokh Ayazi

Abstract read
In one paragraph

Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Biomimetic Wearable Sensors: Emerging Combination of Intelligence and Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  15. Article
  16. Health Monitoring via Heart, Breath, and Korotkoff Sounds by Wearable Piezoelectret Patches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  17. Article
  18. Review
  19. Review
  20. 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

6 authors.

Pranav Gupta1Georgia Institute of Technology, Atlanta, GA 30308 USA.ORCID 0000-0002-2808-6745
Mohammad J Moghimi1Georgia Institute of Technology, Atlanta, GA 30308 USA.
Yaesuk Jeong1Georgia Institute of Technology, Atlanta, GA 30308 USA.
Divya Gupta2Department of Medicine, Emory University, Atlanta, GA 30308 USA.
Omer T Inan1Georgia Institute of Technology, Atlanta, GA 30308 USA.
Farrokh Ayazi1Georgia Institute of Technology, Atlanta, GA 30308 USA.

Funding

Wearable lung sounds, fluid, and body temperature monitoring for patients with COVID-19R01EB023808 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI INAN, OMER TOLGA · 2016 to 2020
$2.2M
NIBIB NIH HHS R01 EB023808
6 · The paper itself

Abstract

Mechano-acoustic signals emanating from the heart and lungs contain valuable information about the cardiopulmonary system. Unobtrusive wearable sensors capable of monitoring these signals longitudinally can detect early pathological signatures and titrate care accordingly. Here, we present a wearable, hermetically-sealed high-precision vibration sensor that combines the characteristics of an accelerometer and a contact microphone to acquire wideband mechano-acoustic physiological signals, and enable simultaneous monitoring of multiple health factors associated with the cardiopulmonary system including heart and respiratory rate, heart sounds, lung sounds, and body motion and position of an individual. The encapsulated accelerometer contact microphone (ACM) utilizes nano-gap transducers to achieve extraordinary sensitivity in a wide bandwidth (DC-12 kHz) with high dynamic range. The sensors were used to obtain health factors of six control subjects with varying body mass index, and their feasibility in detection of weak mechano-acoustic signals such as pathological heart sounds and shallow breathing patterns is evaluated on patients with preexisting conditions.

Indexed as

Biomedical engineeringElectrical and electronic engineeringHealth care

Identifiers

PMID32128449
PMCPMC7015926

What OpenQuestion holds

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LicenceCC BY
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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.