Evidence map›Paper›PMID 38139558›Full record

ArticleSensors (Basel, Switzerland)2023

Design of a Remote, Multi-Range Conductivity Sensor.

Georgiana Dima, Anna Radkovskaya, Christopher J Stevens, Laszlo Solymar, Ekaterina Shamonina

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Georgiana DimaDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
Anna RadkovskayaDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
Christopher J StevensDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
Laszlo SolymarDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
Ekaterina ShamoninaDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.

Funding

Engineering and Physical Sciences Research Council SYMETA grant EP/N010493/1
6 · The paper itself

Abstract

So far, research on remote conductivity detection has primarily focused on large conductivities. This paper examines the entire conductivity range, proposing a method that can be adapted to the desired application. The optimization procedure for the different regions is presented and discussed. Specific interest is given to the low-conductivity range, below 10 S/m, which covers human body tissues. This could lead to applications in body imaging, especially for induction tomography. Conductivities below 12.5 S/m are extracted experimentally with an error below 10%.

Indexed as

conductivity detectionlow conductivityremote sensing

Identifiers

PMID38139558
PMCPMC10747276

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.