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.
Funder
Japan Society for the Promotion of Science
Japan Agency for Medical Research and Development
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference25 articles.
1. Heat stroke;Hifumi;J. Intensive Care,2018
2. Controversies in exertional heat stroke diagnosis, prevention, and treatment;Orlando;J. Appl. Physiol.,2019
3. Shimazaki, T., Anzai, D., Watanabe, K., Nakajima, A., Fukuda, M., and Ata, S. (2022). Heat stroke prevention in hot specific occupational environment enhanced by supervised machine learning with personalized vital signs. Sensors, 22.
4. A new technique for monitoring the deep body temperature in man from the intact skin surface;Fox;J. Physiol.,1971
5. Body temperature measurement;Togawa;Clin. Phys. Physiol. Meas.,1985
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