An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
T. Tamura, Ming Li Huang, Takumi Yoshimura, Shinjiro Umezu, Toru Ogata
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.
Topics & Concepts
HeatstrokeThermometerDual (grammatical number)Internet of ThingsHeat fluxCloud computingComputer scienceComputer securityHeat transferPhysicsMeteorologyMechanicsThermodynamicsArtOperating systemLiteratureThermoregulation and physiological responsesThermal Regulation in MedicineClimate Change and Health Impacts