Evidence map›Paper›PMID 35281186›Full record

ArticleComputational intelligence and neuroscience2022

A Versatile and Ubiquitous IoT-Based Smart Metabolic and Immune Monitoring System.

N Arunkumar, V Pandimurugan, M S Hema, H Azath, S Hariharasitaraman, M Thilagaraj, Petchinathan Govindan

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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 It has been retracted, and should not be counted.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 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

N ArunkumarDepartment of Biomedical Engineering, Rathinam Technical Campus, Coimbatore-641021, India.ORCID https://orcid.org/0000-0001-9719-4451
V PandimuruganSchool of Computing Science and Engineering, VIT Bhopal University, Kotri Kalan, Ashta, Near Indore Road, Bhopal, Madhya Pradesh 466114, India.ORCID https://orcid.org/0000-0003-4766-996X
M S HemaAnurag University, School of Engineering, Department of Information Technology, Venkatapur, Ghatkesar Road, Hyderabad, Telangana-500088, India.ORCID https://orcid.org/0000-0001-5196-9258
H AzathSchool of Computing Science and Engineering, VIT Bhopal University, Kotri Kalan, Ashta, Near Indore Road, Bhopal, Madhya Pradesh 466114, India.ORCID https://orcid.org/0000-0002-7734-7745
S HariharasitaramanSchool of Computing Science and Engineering, VIT Bhopal University, Kotri Kalan, Ashta, Near Indore Road, Bhopal, Madhya Pradesh 466114, India.ORCID https://orcid.org/0000-0003-2411-6246
M ThilagarajDepartment of Electronics and Instrumentation Engineering, Karpagam College of Engineering, Coimbatore, India.ORCID https://orcid.org/0000-0002-7729-3273
Petchinathan GovindanDepartment of Electrical and Electronics Technology, Ethiopian Technical University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-8091-0749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present medical age, the focus on prevention and prediction is achieved using the medical internet of things. With a broad and complete framework, effective behavioral, environmental, and physiological criteria are necessary to govern the major healthcare sectors. Wearables play an essential role in personal health monitoring data measurement and processing. We wish to design a variable and flexible frame for broad parameter monitoring in accordance with the convenient mode of wearability. In this study, an innovative prototype with a handle and a modular IoT portal is designed for environmental surveillance. The prototype examines the most significant parameters of the surroundings. This strategy allows a bidirectional link between end users and medicine via the IoT gateway as an intermediate portal for users with IoT servers in real time. In addition, the doctor may configure the necessary parameters of measurements via the IoT portal and switch the sensors on the wearables as a real-time observer for the patient. Thus, based on goal analysis, patient situation, specifications, and requests, medications may define setup criteria for calculation. With regard to privacy, power use, and computation delays, we established this system's performance link for three common IoT healthcare circumstances. The simulation results show that this technique may minimize processing time by 25.34%, save energy level up to 72.25%, and boost the privacy level of the IoT medical device to 17.25% compared to the benchmark system.

Indexed as

Delivery of Health CareElectrocardiographyHumansMonitoring, Immunologic

Identifiers

PMID35281186
PMCPMC8906964

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.