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IoT-Enabled smart mask to detect COVID19 outbreak

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 b...

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Autores principales: Selvadass, Salomi, Paul, J. John, Bella Mary I, Thusnavis, Packiavathy, I. Sybiya Vasantha, Gautam, Sneha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388365/
https://www.ncbi.nlm.nih.gov/pubmed/36000088
http://dx.doi.org/10.1007/s12553-022-00695-2
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author Selvadass, Salomi
Paul, J. John
Bella Mary I, Thusnavis
Packiavathy, I. Sybiya Vasantha
Gautam, Sneha
author_facet Selvadass, Salomi
Paul, J. John
Bella Mary I, Thusnavis
Packiavathy, I. Sybiya Vasantha
Gautam, Sneha
author_sort Selvadass, Salomi
collection PubMed
description 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.
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spelling pubmed-93883652022-08-19 IoT-Enabled smart mask to detect COVID19 outbreak Selvadass, Salomi Paul, J. John Bella Mary I, Thusnavis Packiavathy, I. Sybiya Vasantha Gautam, Sneha Health Technol (Berl) Original Paper 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. Springer Berlin Heidelberg 2022-08-19 2022 /pmc/articles/PMC9388365/ /pubmed/36000088 http://dx.doi.org/10.1007/s12553-022-00695-2 Text en © The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Selvadass, Salomi
Paul, J. John
Bella Mary I, Thusnavis
Packiavathy, I. Sybiya Vasantha
Gautam, Sneha
IoT-Enabled smart mask to detect COVID19 outbreak
title IoT-Enabled smart mask to detect COVID19 outbreak
title_full IoT-Enabled smart mask to detect COVID19 outbreak
title_fullStr IoT-Enabled smart mask to detect COVID19 outbreak
title_full_unstemmed IoT-Enabled smart mask to detect COVID19 outbreak
title_short IoT-Enabled smart mask to detect COVID19 outbreak
title_sort iot-enabled smart mask to detect covid19 outbreak
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388365/
https://www.ncbi.nlm.nih.gov/pubmed/36000088
http://dx.doi.org/10.1007/s12553-022-00695-2
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