Evidence map›Paper›PMID 33804224›Full record

ArticleBiosensors2021

Study of Two Constraints Impacting Measurements of Human Glycemia Using a Microwave Sensor.

Mohamed Amine Zidane, Hichem Amar, Amar Rouane

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

3 authors at 2 institutions in 2 countries.

Mohamed Amine ZidaneInstitut Jean Lamour, Lorraine University (CNRS-UMR 7198), F54000 Nancy, France.ORCID 0000-0001-9806-4173
Hichem AmarResearch Center in Industrial Technologies, RCIT, DZ19000 Setif, Algeria.
Amar RouaneInstitut Jean Lamour, Lorraine University (CNRS-UMR 7198), F54000 Nancy, France.
Centre National de la Recherche Scientifique · FRResearch Center in Industrial Technologies · DZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of glycemia is impacted by several constraints; those constraints have to be identified and quantified when designing an electromagnetic noninvasive sensor. The second phase concerns the level of the influence of these constraints. In this work, we investigated the impact of vein radius located in the forearm on a resonant microwave sensor to measure glycemia. We performed a numerical simulation using COMSOL Multiphysics of a proposed tissue model that was in contact with a microwave resonator. Some other factors affect the measurement, such as temperature, perfusion, sensor positioning and motion, tissue heterogeneity, and other biological activity. The sensor must be robust to the above-mentioned constraints. Because vein size changes from one person to another, the dielectric properties seen by the sensor will be different. This has been demonstrated by the change created in the resonance frequency of the simulated sensor for different vein sizes. The second constraint that was assessed is the dosimetry. The specific absorption rate (SAR) of any electromagnetic device should be evaluated and compared with SAR limits in the safety standards to ensure the safety of the user. Simulation results are in good agreement with SAR limits in the safety standards.

Indexed as

Biosensing TechniquesMicrowavesBlood GlucoseComputer SimulationHumansTemperatureVeinsBlood Glucosediabeticsglycemiamicrowave sensorSARtissue propertiesvein

Identifiers

PMID33804224
PMCPMC8000743
OpenAlexW3137199478

What OpenQuestion holds

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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.