Evidence map›Paper›PMID 36000088›Full record

ArticleHealth and technology2022

IoT-Enabled smart mask to detect COVID19 outbreak.

Salomi Selvadass, J John Paul, Thusnavis Bella Mary I, I Sybiya Vasantha Packiavathy, Sneha Gautam

Abstract read
In one paragraph

Article in Health and technology, 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

5 authors.

Salomi SelvadassKarunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India.
J John PaulKarunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India.
Thusnavis Bella Mary IKarunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India.
I Sybiya Vasantha PackiavathyKarunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India.
Sneha GautamKarunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India.ORCID 0000-0002-2978-844X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Internet of Things (IoT) has dominated various sectors over human effort with its liberal dimensions of innovations. Shielding various utilizations in terms of extensity, IoT integrated with the cloud has obtained a far-reaching spectrum. Backgrounds: Nevertheless, the SARS-CoV-2 has become an imperil, at the present moment causing remarkable demands on health technologies across the globe and gravely snarling the entire world populace. Whilst, the front-runners are striving enormously to uncover this virus, in the event of medications and evolving vaccines, it is also imperative to explore the existing systems dealing with medical emergence, mitigating its spread, and supremely the planning for thwarting this virus. The extant passive face masks provide effective and feasible protection by screening all the air particles entering the nasal passage. Methodology: This paper aims to enucleate a new "smart mask" paradigm for telehealth. As the vital health parameters like temperature, respiratory rate(RR), and heart rate(HR) are being easily affected by this deadly virus, this paper envisions a wearable mask equipped with an active sensor (LM35 temperature sensor) that would continuously monitor these health parameters of the person wearing the mask and provide real-time analysis of the data through the cloud. Result: This proposed methodology also incorporates a vigilant system that would alert the person, if the necessary physical distance is not maintained. Besides, this application provides a person with a detailed record of his health, sending doctors and hospitals for teleconsultation. Conclusion: Experimental results from a functional prototype have proved it a constructive low-cost system.

Indexed as

Health parametersInternet of thingsSARS-CoV-2Smart maskTelehealth

Identifiers

PMID36000088
PMCPMC9388365

What OpenQuestion holds

Textmetadata
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.