Evidence map›Paper›PMID 40360563›Full record

ArticleScientific data2025

Distributed Acoustic Sensing of Sounds in Audible Spectrum in Realistic Optical Cable Infrastructure.

Petr Dejdar, Ondrej Mokry, Petr Munster, Tomas Horvath, Jiri Schimmel

Abstract read
In one paragraph

Article in Scientific data, 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.

Petr DejdarBrno University of Technology, Faculty of Electrical Engineering and Communications, Dept. of Telecommunications, Technicka 12, 61600, Brno, Czech Republic. Petr.Dejdar@vut.cz.ORCID http://orcid.org/0000-0002-5008-1481
Ondrej MokryBrno University of Technology, Faculty of Electrical Engineering and Communications, Dept. of Telecommunications, Technicka 12, 61600, Brno, Czech Republic.
Petr MunsterBrno University of Technology, Faculty of Electrical Engineering and Communications, Dept. of Telecommunications, Technicka 12, 61600, Brno, Czech Republic.
Tomas HorvathBrno University of Technology, Faculty of Electrical Engineering and Communications, Dept. of Telecommunications, Technicka 12, 61600, Brno, Czech Republic.
Jiri SchimmelBrno University of Technology, Faculty of Electrical Engineering and Communications, Dept. of Telecommunications, Technicka 12, 61600, Brno, Czech Republic.

Funding

Ministerstvo Vnitra České Republiky (Ministry of the Interior of the Czech Republic) VJ01010035
6 · The paper itself

Abstract

Distributed acoustic sensing (DAS) is an emerging technology with diverse applications in monitoring infrastructure, security systems, and environmental sensing. This study presents a dataset comprising acoustic vibration patterns recorded by a commercial DAS system, providing valuable insights into the acoustic sensitivity of optical fibers. The data are crucial for evaluating the performance of DAS systems, particularly in scenarios related to security and eavesdropping. The dataset offers the possibility to develop and test algorithms aimed at enhancing signal-to-noise ratio (SNR), detecting anomalies, and improving speech intelligibility. Additionally, this resource facilitates the validation of de-noising techniques through the calculation of the speech transmission index (STI). The experimental setup, measurement procedures, and the characteristics of the DAS system employed are comprehensively documented for researchers in the field of optical fiber sensing and signal processing.

Identifiers

PMID40360563
PMCPMC12075592

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.