Evidence map›Paper›PMID 36911255›Full record

ArticleJournal of micromechanics and microengineering : structures, devices, and systems2023

MEMS piezoelectric resonant microphone array for lung sound classification.

Hai Liu, Matin Barekatain, Akash Roy, Song Liu, Yunqi Cao, Yongkui Tang, Anton Shkel, Eun Sok Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of micromechanics and microengineering : structures, devices, and systems, 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. Article
  2. Article
  3. MEMS piezoelectric resonant microphone array for lung sound classification.Journal of micromechanics and microengineering : structures, devices, and systems · 2023
    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

8 authors.

Hai LiuDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.ORCID https://orcid.org/0000-0003-4461-9748
Matin BarekatainDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.
Akash RoyDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.
Song LiuDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.
Yunqi CaoDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.
Yongkui TangDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.ORCID https://orcid.org/0000-0003-0817-4956
Anton ShkelDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.
Eun Sok KimDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States of America.

Funding

Wearable, Always-on Stethoscope for Early Detection of Asthma AttackR01HL165138 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EUN SOK KIM · 2022 to 2026
$3.5M
MEMS-Based Active Noise Cancellation for Hearing AidsR21DC016468 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KIM, EUN SOK · 2018 to 2019
$421k
NHLBI NIH HHS R01 HL165138NIDCD NIH HHS R21 DC016468
6 · The paper itself

Abstract

This paper reports a highly sensitive piezoelectric microelectromechanical systems (MEMS) resonant microphone array (RMA) for detection and classification of wheezing in lung sounds. The RMA is composed of eight width-stepped cantilever resonant microphones with Mel-distributed resonance frequencies from 230 to 630 Hz, the main frequency range of wheezing. At the resonance frequencies, the unamplified sensitivities of the microphones in the RMA are between 86 and 265 mV Pa

Indexed as

acoustic transducerlung sounds classificationpiezoelectric MEMS microphoneresonant microphone arraywearable health sensor

Identifiers

PMID36911255
PMCPMC9997066

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.