Evidence map›Paper›PMID 35890818›Full record

ArticleSensors (Basel, Switzerland)2022

Wearable Antennas for Sensor Networks and IoT Applications: Evaluation of SAR and Biological Effects.

Nikolay Todorov Atanasov, Gabriela Lachezarova Atanasova, Boyana Angelova, Momchil Paunov, Maria Gurmanova, Margarita Kouzmanova

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

6 authors.

Nikolay Todorov AtanasovDepartment of Communication and Computer Engineering, South-West University "Neofit Rilski", 2700 Blagoevgrad, Bulgaria.ORCID 0000-0002-7707-0133
Gabriela Lachezarova AtanasovaDepartment of Communication and Computer Engineering, South-West University "Neofit Rilski", 2700 Blagoevgrad, Bulgaria.ORCID 0000-0002-7177-8317
Boyana AngelovaDepartment of Biophysics and Radiobiology, Sofia University "St. Kliment Ohridski", 1164 Sofia, Bulgaria.
Momchil PaunovDepartment of Biophysics and Radiobiology, Sofia University "St. Kliment Ohridski", 1164 Sofia, Bulgaria.
Maria GurmanovaDepartment of Biophysics and Radiobiology, Sofia University "St. Kliment Ohridski", 1164 Sofia, Bulgaria.
Margarita KouzmanovaDepartment of Biophysics and Radiobiology, Sofia University "St. Kliment Ohridski", 1164 Sofia, Bulgaria.ORCID 0000-0002-1914-6160

Funding

BULGARIAN NATIONAL SCIENCE FUND at the Ministry of Education and Science, Bulgaria KP-06-H27/11 from 11th December 2018
6 · The paper itself

Abstract

In recent years, there has been a rapid development in the wearable industry. The growing number of wearables has led to the demand for new lightweight, flexible wearable antennas. In order to be applicable in IoT wearable devices, the antennas must meet certain electrical, mechanical, manufacturing, and safety requirements (e.g., specific absorption rate (SAR) below worldwide limits). However, the assessment of SAR does not provide information on the mechanisms of interaction between low-intensity electromagnetic fields emitted by wearable antennas and the human body. In this paper, we presented a detailed investigation of the SAR induced in erythrocyte suspensions from a fully textile wearable antenna at realistic (net input power 6.3 mW) and conservative (net input power 450 mW) conditions at 2.41 GHz, as well as results from

Indexed as

Electromagnetic FieldsWearable Electronic DevicesHumansantenna for sensor applicationsbiological effectsEMFerythrocyte membranefully textile antennareactive near-fieldSARwearable antennas

Identifiers

PMID35890818
PMCPMC9315969

What OpenQuestion holds

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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.