Evidence map›Paper›PMID 33227980›Full record

ArticleBioengineering (Basel, Switzerland)2020

Theoretical Simulation of the Near-Field Probe for Non-Invasive Measurements on Planar Layers with Biological Characteristics.

Aleksandr Gorst, Kseniya Zavyalova, Vladimir Yakubov, Aleksandr Mironchev, Andrey Zapasnoy

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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 at 1 institution in 1 country.

Aleksandr GorstRadiophysics Faculty, Tomsk State University, Tomsk 634050, Russia.ORCID 0000-0001-7081-8738
Kseniya ZavyalovaRadiophysics Faculty, Tomsk State University, Tomsk 634050, Russia.
Vladimir YakubovRadiophysics Faculty, Tomsk State University, Tomsk 634050, Russia.
Aleksandr MironchevRadiophysics Faculty, Tomsk State University, Tomsk 634050, Russia.
Andrey ZapasnoyRadiophysics Faculty, Tomsk State University, Tomsk 634050, Russia.
National Research Tomsk State University · RU

Funding

Russian Science Foundation 18-75-10101
6 · The paper itself

Abstract

The article presents the design of the near-field probe, which is a combined emitter (a combination of a symmetric dipole and an annular frame). The design of the probe allows forming a prolonged zone of the near-field. This effect can be used for in-depth penetration of the field in media with high absorption, without loss of information. Particular attention in this article is given to a detailed study of the interaction of the field created by this probe on plane-layered biological media. A theoretical analysis of the interaction of the electromagnetic field was carried out in a wide frequency band with a model plane-layer biological medium containing blood vessels of shallow depth using the proposed probe design. Conclusions are drawn about the depth of penetration of a useful signal into different media-analogs of biological tissue. This study is necessary to consider the possibility of using this probe for non-invasive measurements of blood glucose concentration. The studies were carried out using numerical simulation in the CST (Computer Simulation Technology) Microwave Studio environment. All biological tissues were simulated over a wide frequency range from 10 MHz to 10 GHz.

Indexed as

biological tissuesmicrowave sensormodelingnear-field sensornon-invasivesimulation

Identifiers

PMID33227980
PMCPMC7712433
OpenAlexW3105357383

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.