Wearable Sensor Technology to Predict Core Body Temperature: A Systematic Review

Wearable Sensor Technology to Predict Core Body Temperature: A Systematic Review

Heat-related illnesses, which range from heat exhaustion to heatstroke, affect thousands of individuals worldwide every year and are characterized by extreme hyperthermia with the core body temperature (CBT) usually > 40 °C, decline in physical and athletic performance, CNS dysfunction, and, even...

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Bibliographic Details
Main Authors: Conor M. Dolson, Ethan R. Harlow, Dermot M. Phelan, Tim J. Gabbett, Benjamin Gaal, Christopher McMellen, Benjamin J. Geletka, Jacob G. Calcei, James E. Voos, Dhruv R. Seshadri
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
wearable technology
core body temperature
heat stroke
exertional heat illness
physiological modeling
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/19/7639

Internet

https://www.mdpi.com/1424-8220/22/19/7639

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