Evidence map›Paper›PMID 32708191›Full record

ReviewSensors (Basel, Switzerland)2020

Micromachined Accelerometers with Sub-µg/√Hz Noise Floor: A Review.

Chen Wang, Fang Chen, Yuan Wang, Sina Sadeghpour, Chenxi Wang, Mathieu Baijot, Rui Esteves, Chun Zhao, Jian Bai, Huafeng Liu and 1 more

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
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  4. Dynamic Calibration of Quartz Flexure Accelerometers.Sensors (Basel, Switzerland) · 2025
    Article
  5. Article
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  17. Review
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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

11 authors.

Chen WangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Fang ChenSIMIT, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0000-0002-7961-6232
Yuan WangPGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China.
Sina SadeghpourESAT-MICAS, University of Leuven, 3001 Leuven, Belgium.
Chenxi WangESAT-MICAS, University of Leuven, 3001 Leuven, Belgium.
Mathieu BaijotESAT-MICAS, University of Leuven, 3001 Leuven, Belgium.
Rui EstevesESAT-MICAS, University of Leuven, 3001 Leuven, Belgium.
Chun ZhaoPGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China.
Jian BaiCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Huafeng LiuPGMF and School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0003-0757-2362
Michael KraftESAT-MICAS, University of Leuven, 3001 Leuven, Belgium.ORCID 0000-0002-7213-1072

Funding

Natural Science Foundation of Hubei Province 2019CFB108Science Challenge Project TZ2016006-0502-02
6 · The paper itself

Abstract

This paper reviews the research and development of micromachined accelerometers with a noise floor lower than 1 µg/√Hz. Firstly, the basic working principle of micromachined accelerometers is introduced. Then, different methods of reducing the noise floor of micromachined accelerometers are analyzed. Different types of micromachined accelerometers with a noise floor below 1 µg/√Hz are discussed. Such sensors can mainly be categorized into: (i) micromachined accelerometers with a low spring constant; (ii) with a large proof mass; (iii) with a high quality factor; (iv) with a low noise interface circuit; (v) with sensing schemes leading to a high scale factor. Finally, the characteristics of various micromachined accelerometers and their trends are discussed and investigated.

Indexed as

accelerometer reviewaccelerometer structureinertial sensorslow-g accelerometerMicro-Electro–Mechanical System (MEMS)micromachined/micro accelerometersseismometer

Identifiers

PMID32708191
PMCPMC7411979

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.