Evidence map›Paper›PMID 33986824›Full record

SynthesisComputational and mathematical methods in medicine2021

Wearable Wireless Body Area Networks for Medical Applications.

Carlos A Tavera, Jesús H Ortiz, Osamah I Khalaf, Diego F Saavedra, Theyazn H H Aldhyani

RetractedAbstract readSystematic ReviewRetracted Publication
In one paragraph

Synthesis in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. Retracted: Wearable Wireless Body Area Networks for Medical Applications.Computational and mathematical methods in medicine · 2023
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  5. Review
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  7. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Carlos A TaveraUniversidad Santiago de Cali, Cali, Colombia.
Jesús H OrtizClosemobile R&D Telecommunications LS, Fuenlabrada, Spain.
Osamah I KhalafAl-Nahrain University, Bagdad, Iraq.ORCID https://orcid.org/0000-0002-4750-8384
Diego F SaavedraUniversidad Santiago de Cali, Cali, Colombia.
Theyazn H H AldhyaniCommunity College of Abqaiq, King Faisal University, P.O. Box 4000 Al-Ahsa, Saudi Arabia.ORCID https://orcid.org/0000-0003-1822-1357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent times, there has been a significant growth in networks known as the wireless body area networks (WBANs). A WBAN connects distributed nodes throughout the human body, which can be placed on the skin, under the skin, or on clothing and can use the human body's electromagnetic waves. An approach to reduce the size of different telecommunication equipment is constantly being sought; this allows these devices to be closer to the body or even glued and embedded within the skin without making the user feel uncomfortable or posing as a danger for the user. These networks promise new medical applications; however, these are always based on the freedom of movement and the comfort they offer. Among the advantages of these networks is that they can significantly increase user's quality of life. For example, a person can carry a WBAN with built-in sensors that calculate the user's heart rate at any given time and send these data over the internet to user's doctor. This study provides a systematic review of WBAN, describing the applications and trends that have been developed with this type of network and, in addition, the protocols and standards that must be considered.

Indexed as

Equipment and SuppliesWearable Electronic DevicesComputational BiologyComputer Communication NetworksHumansLocal Area NetworksMonitoring, AmbulatoryQuality of LifeWireless Technology

Identifiers

PMID33986824
PMCPMC8093056

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.