Evidence map›Paper›PMID 33613666›Full record

ArticleEURASIP journal on wireless communications and networking2021

Next-generation UWB antennas gadgets for human health care using SAR.

Aysha Maryam Ali, Mohammed A Al Ghamdi, Muhammad Munwar Iqbal, Shehzad Khalid, Hamza Aldabbas, Saqib Saeed

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EURASIP journal on wireless communications and networking, 2021. 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. 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

6 authors.

Aysha Maryam AliUniversity of Engineering and Technology, Taxila, Pakistan.
Mohammed A Al GhamdiComputer Science Department, Umm Al-Qura University, Makkah City, Saudi Arabia.
Muhammad Munwar IqbalUniversity of Engineering and Technology, Taxila, Pakistan.ORCID 0000-0001-7212-1408
Shehzad KhalidComputer Engineering Department, Bahria University, Islamabad, Pakistan.
Hamza AldabbasSoftware Enginnering Department, Prince Abdullah bin Ghazi Faculty of Information and Communication Technology, Al-Salt, Jordan.
Saqib SaeedDepartment of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman bin Faisal University, Dammam, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The body area network is now the most challenging and most popular network for study and research. Communication about the body has undoubtedly taken its place due to a wide variety of applications in industry, health care, and everyday life in wireless network technologies. The body area network requires such smart antennas that can provide the best benefits and reduce interference with the same channel. The discovery of this type of antenna design is at the initiative of this research. In this work, to get a good variety, the emphasis is on examining different techniques. The ultra-wide band is designed, simulated, and manufactured because the ultra-wide band offers better performance compared to narrowband antennas. To analyze the specific absorption rate, we designed a multilayer model of human head and hand in the high-frequency structure simulator. In the final stage, we simulated our antennas designed with the head and hand model to calculate the results of the specific absorption rate. The analysis of the specific absorption rate for the head and hand was calculated by placing the antennas on the designed model.

Indexed as

Healthcare applicationsPatient monitoringSignal analysisSignal processingSmart applicationsWireless body area networksWSN

Identifiers

PMID33613666
PMCPMC7885984

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.