Evidence map›Paper›PMID 39858698›Full record

ReviewMicromachines2024

MEMS Acoustic Sensors: Charting the Path from Research to Real-World Applications.

Qingyi Wang, Yang Zhang, Sizhe Cheng, Xianyang Wang, Shengjun Wu, Xufeng Liu

Abstract readReview
In one paragraph

Review in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025
    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.

Qingyi WangSchool of Basic Medicine, Air Force Medical University, Xi'an 710032, China.
Yang ZhangSchool of Biomedical Engineering, Air Force Medical University, Xi'an 710032, China.ORCID 0000-0002-8540-1254
Sizhe ChengSchool of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.ORCID 0000-0001-9967-8281
Xianyang WangSchool of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Shengjun WuSchool of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.
Xufeng LiuSchool of Military Medical Psychology, Air Force Medical University, Xi'an 710032, China.

Funding

the Research Foundation of the Air Force Medical University 2023RCJB04
6 · The paper itself

Abstract

MEMS acoustic sensors are a type of physical quantity sensor based on MEMS manufacturing technology for detecting sound waves. They utilize various sensitive structures such as thin films, cantilever beams, or cilia to collect acoustic energy, and use certain transduction principles to read out the generated strain, thereby obtaining the targeted acoustic signal's information, such as its intensity, direction, and distribution. Due to their advantages in miniaturization, low power consumption, high precision, high consistency, high repeatability, high reliability, and ease of integration, MEMS acoustic sensors are widely applied in many areas, such as consumer electronics, industrial perception, military equipment, and health monitoring. Through different sensing mechanisms, they can be used to detect sound energy density, acoustic pressure distribution, and sound wave direction. This article focuses on piezoelectric, piezoresistive, capacitive, and optical MEMS acoustic sensors, showcasing their development in recent years, as well as innovations in their structure, process, and design methods. Then, this review compares the performance of devices with similar working principles. MEMS acoustic sensors have been increasingly widely applied in various fields, including traditional advantage areas such as microphones, stethoscopes, hydrophones, and ultrasound imaging, and cutting-edge fields such as biomedical wearable and implantable devices.

Indexed as

acoustic sensorapplicationMEMSperformanceworking principles

Identifiers

PMID39858698
PMCPMC11767597

What OpenQuestion holds

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LicenceCC BY
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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.