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

Research output: Contribution to journalArticlepeer-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 languageEnglish
Article number9985
JournalSensors
Volume22
Issue number24
DOIs
Publication statusPublished - 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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