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

Toshiyo Tamura; Ming Huang; Takumi Yoshimura; Shinjiro Umezu; Toru Ogata

doi:10.3390/s22249985

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

Toshiyo Tamura^*, Ming Huang, Takumi Yoshimura, Shinjiro Umezu, Toru Ogata

^*Corresponding author for this work

School of Creative Science and Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	9985
Journal	Sensors
Volume	22
Issue number	24
DOIs	https://doi.org/10.3390/s22249985
Publication status	Published - 2022 Dec

Keywords

clinical thermometry
continuous non-invasive temperature monitoring
core temperature
deep body temperature
dual-heat-flux thermometer
heatstroke
IoT system
thermal regulation
wearable device

ASJC Scopus subject areas

Analytical Chemistry
Information Systems
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering

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10.3390/s22249985

Cite this

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

abstract = "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.",

keywords = "clinical thermometry, continuous non-invasive temperature monitoring, core temperature, deep body temperature, dual-heat-flux thermometer, heatstroke, IoT system, thermal regulation, wearable device",

author = "Toshiyo Tamura and Ming Huang and Takumi Yoshimura and Shinjiro Umezu and Toru Ogata",

note = "Funding Information: We are grateful for financial support from Japan Society for the Promotion of Science (JSPS) KAKENHI (grant no. JP18K12148) and the Japan Agency for Medical Research and Development (grant no. 20dk0310111h0201). Publisher Copyright: {\textcopyright} 2022 by the authors.",

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AU - Ogata, Toru

N1 - Funding Information: We are grateful for financial support from Japan Society for the Promotion of Science (JSPS) KAKENHI (grant no. JP18K12148) and the Japan Agency for Medical Research and Development (grant no. 20dk0310111h0201). Publisher Copyright: © 2022 by the authors.

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

Abstract

Keywords

ASJC Scopus subject areas

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