Evidence map›Paper›PMID 35208288›Full record

ArticleMicromachines2022

Design of a Novel Medical Acoustic Sensor Based on MEMS Bionic Fish Ear Structure.

Chenzheng Zhou, Junbin Zang, Chenyang Xue, Yuexuan Ma, Xiaoqiang Hua, Rui Gao, Zengxing Zhang, Bo Li, Zhidong Zhang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-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

11 citing papers in PubMed, 27 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Chenzheng ZhouState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0002-9767-9448
Junbin ZangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Chenyang XueState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Yuexuan MaState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Xiaoqiang HuaState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Rui GaoState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Zengxing ZhangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Bo LiState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Zhidong ZhangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0002-6464-4003
North University of China · CN

Funding

National Natural Science Foundation for China as National Major Scientific Instruments Devel-opment Project 61727806National Natural Science Foundation of China Youth Found 62001430
6 · The paper itself

Abstract

High-performance medical acoustic sensors are essential in medical equipment and diagnosis. Commercially available medical acoustic sensors are capacitive and piezoelectric types. When they are used to detect heart sound signals, there is attenuation and distortion due to the sound transmission between different media. This paper proposes a new bionic acoustic sensor based on the fish ear structure. Through theoretical analysis and finite element simulation, the optimal parameters of the sensitive structure are determined. The sensor is fabricated using microelectromechanical systems (MEMS) technology, and is encapsulated in castor oil, which has an acoustic impedance close to the human body. An electroacoustic test platform is built to test the performance of the sensor. The results showed that the MEMS bionic sensor operated with a bandwidth of 20-2k Hz. Its linearity and frequency responses were better than the electret microphone. In addition, the sensor was tested for heart sound collection application to verify its effectiveness. The proposed sensor can be effectively used in clinical auscultation and has a high SNR.

Indexed as

bionicelectronic stethoscopeheart soundlow-frequencyMEMS applicationsMEMS sensorsmicromachinesimulations

Identifiers

PMID35208288
PMCPMC8880548
OpenAlexW4214776224

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.