@article{ccb42d156f204ade9c839d5d6f4fa248,
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 = "IoT system, clinical thermometry, continuous non-invasive temperature monitoring, core temperature, deep body temperature, dual-heat-flux thermometer, heatstroke, 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.",
year = "2022",
month = dec,
doi = "10.3390/s22249985",
language = "English",
volume = "22",
journal = "Sensors (Switzerland)",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "24",
}