Evidence map›Paper›PMID 39943515›Full record

ReviewSensors (Basel, Switzerland)2025

Advancements in Surface Acoustic Wave Gyroscope Technology in 2015-2024.

Alexander Kukaev, Egor Shalymov, Sergey Shevchenko, Maria Sorvina, Vladimir Venediktov

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Alexander KukaevDepartment of Applied Mechanics and Engineering Graphics, Saint Petersburg Electrotechnical University, 197376 St. Petersburg, Russia.ORCID 0000-0002-9525-8412
Egor ShalymovDepartment of Laser Measurement and Navigation Systems, Saint Petersburg Electrotechnical University, 199034 St. Petersburg, Russia.
Sergey ShevchenkoDepartment of Laser Measurement and Navigation Systems, Saint Petersburg Electrotechnical University, 199034 St. Petersburg, Russia.ORCID 0000-0002-4047-7757
Maria SorvinaDepartment of Laser Measurement and Navigation Systems, Saint Petersburg Electrotechnical University, 199034 St. Petersburg, Russia.
Vladimir VenediktovDepartment of Laser Measurement and Navigation Systems, Saint Petersburg Electrotechnical University, 199034 St. Petersburg, Russia.

Funding

Russian Science Foundation 20-19-00460
6 · The paper itself

Abstract

Although the theoretical basis for surface acoustic wave gyroscopes (SAWGs) was first proposed in 1980, their design concepts are still under development. Nevertheless, these sensors are of a great interest in the potential market owing to their exceptional shock resistance, small size, low power consumption, and simple manufacturing process that ensures low cost. This paper aims to conscientiously investigate the ideas that have been proposed over the past decade in this area and evaluate the potential development required to bring SAWGs to market. It should be of interest for researchers in the field who might have missed some useful solutions that could be a missing piece in their own design, or for young researchers to inspire their creativity and open new research on the topic. Additionally, since some of the reviewed SAWG design concepts are based on a combination of several physical principles (for example, optical measurements), researchers from other fields may find useful solutions for incorporating surface acoustic wave techniques into their device concepts.

Indexed as

acousto-optic gyroscopeFEM simulationgyroscopeinertial navigationparameter optimizationphononic crystalsurface acoustic waves

Identifiers

PMID39943515
PMCPMC11820765

What OpenQuestion holds

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Registered trials

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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.