An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer

Heatstroke is a concern during sudden heat waves. We designed and prototyped an Internet of Things system for heatstroke prevention, which integrates physiological information, including deep body temperature (DBT), based on the dual-heat-flux method. A dual-heat-flux thermometer developed to monito...

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Detalles Bibliográficos
Autores principales: Tamura, Toshiyo, Huang, Ming, Yoshimura, Takumi, Umezu, Shinjiro, Ogata, Toru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781016/
https://www.ncbi.nlm.nih.gov/pubmed/36560354
http://dx.doi.org/10.3390/s22249985
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author Tamura, Toshiyo
Huang, Ming
Yoshimura, Takumi
Umezu, Shinjiro
Ogata, Toru
author_facet Tamura, Toshiyo
Huang, Ming
Yoshimura, Takumi
Umezu, Shinjiro
Ogata, Toru
author_sort Tamura, Toshiyo
collection PubMed
description Heatstroke is a concern during sudden heat waves. We designed and prototyped an Internet of Things system for heatstroke prevention, which integrates physiological information, including deep body temperature (DBT), based on the dual-heat-flux method. A dual-heat-flux thermometer developed to monitor DBT in real-time was also evaluated. Real-time readings from the thermometer are stored on a cloud platform and processed by a decision rule, which can alert the user to heatstroke. Although the validation of the system is ongoing, its feasibility is demonstrated in a preliminary experiment.
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spelling pubmed-97810162022-12-24 An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer Tamura, Toshiyo Huang, Ming Yoshimura, Takumi Umezu, Shinjiro Ogata, Toru Sensors (Basel) Article Heatstroke is a concern during sudden heat waves. We designed and prototyped an Internet of Things system for heatstroke prevention, which integrates physiological information, including deep body temperature (DBT), based on the dual-heat-flux method. A dual-heat-flux thermometer developed to monitor DBT in real-time was also evaluated. Real-time readings from the thermometer are stored on a cloud platform and processed by a decision rule, which can alert the user to heatstroke. Although the validation of the system is ongoing, its feasibility is demonstrated in a preliminary experiment. MDPI 2022-12-18 /pmc/articles/PMC9781016/ /pubmed/36560354 http://dx.doi.org/10.3390/s22249985 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tamura, Toshiyo
Huang, Ming
Yoshimura, Takumi
Umezu, Shinjiro
Ogata, Toru
An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
title An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
title_full An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
title_fullStr An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
title_full_unstemmed An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
title_short An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
title_sort advanced internet of things system for heatstroke prevention with a noninvasive dual-heat-flux thermometer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781016/
https://www.ncbi.nlm.nih.gov/pubmed/36560354
http://dx.doi.org/10.3390/s22249985
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