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 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.

Automated summary

The study presents the design and prototype of an Internet of Things system for heatstroke prevention. It integrates physiological information, particularly deep body temperature (DBT), using the dual-heat-flux method. A dual-heat-flux thermometer was developed and evaluated for real-time DBT monitoring. Real-time readings are stored on a cloud platform and processed by a decision rule to alert users of heatstroke incidents.