Evidence map›Paper›PMID 37470762›Full record

ArticleACS applied bio materials2023

Electrostatic Acoustic Sensor with an Impedance-Matched Diaphragm Characterized for Body Sound Monitoring.

Valerie Rennoll, Ian McLane, Adebayo Eisape, Drew Grant, Helena Hahn, Mounya Elhilali, James E West

Abstract read
In one paragraph

Article in ACS applied bio materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Valerie RennollDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0003-2354-3377
Ian McLaneDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Adebayo EisapeDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Drew GrantDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Helena HahnDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Mounya ElhilaliDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
James E WestDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.

Funding

SCH: Smart Auscultation for Pulmonary Diagnostics and ImagingR01HL163439 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ELHILALI, MOUNYA · 2022 to 2025
$1.1M
NHLBI NIH HHS R01 HL163439
6 · The paper itself

Abstract

Acoustic sensors are able to capture more incident energy if their acoustic impedance closely matches the acoustic impedance of the medium being probed, such as skin or wood. Controlling the acoustic impedance of polymers can be achieved by selecting materials with appropriate densities and stiffnesses as well as adding ceramic nanoparticles. This study follows a statistical methodology to examine the impact of polymer type and nanoparticle addition on the fabrication of acoustic sensors with desired acoustic impedances in the range of 1-2.2 MRayls. The proposed method using a design of experiments approach measures sensors with diaphragms of varying impedances when excited with acoustic vibrations traveling through wood, gelatin, and plastic. The sensor diaphragm is subsequently optimized for body sound monitoring, and the sensor's improved body sound coherence and airborne noise rejection are evaluated on an acoustic phantom in simulated noise environments and compared to electronic stethoscopes with onboard noise cancellation. The impedance-matched sensor demonstrates high sensitivity to body sounds, low sensitivity to airborne sound, a frequency response comparable to two state-of-the-art electronic stethoscopes, and the ability to capture lung and heart sounds from a real subject. Due to its small size, use of flexible materials, and rejection of airborne noise, the sensor provides an improved solution for wearable body sound monitoring, as well as sensing from other mediums with acoustic impedances in the range of 1-2.2 MRayls, such as water and wood.

Indexed as

AcousticsDiaphragmElectric ImpedanceStatic ElectricityVibrationacoustic impedance matchingacoustic sensorbiomedical acousticsbody sound monitoringsensor design

Identifiers

PMID37470762
PMCPMC10804910

What OpenQuestion holds

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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.