1. External auricle temperature enhances ear-based wearable accuracy during physiological strain monitoring in the heat.
- Author
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Tan SCC, Tran TCK, Chiang CYN, Pan J, and Low ICC
- Subjects
- Humans, Male, Adult, Monitoring, Physiologic instrumentation, Monitoring, Physiologic methods, Young Adult, Heart Rate physiology, Algorithms, Wearable Electronic Devices, Hot Temperature, Body Temperature physiology, Ear Auricle physiology
- Abstract
Body core temperature (T
c ) monitoring is crucial for minimizing heat injury risk. However, validated strategies are invasive and expensive. Although promising, aural canal temperature (Tac ) is susceptible to environmental influences. This study investigated whether incorporation of external auricle temperature (Tea ) into an ear-based Tc algorithm enhances its accuracy during multiple heat stress conditions. Twenty males (mean ± SD; age = 25 ± 3 years, BMI = 21.7 ± 1.8, body fat = 12 ± 3%, maximal aerobic capacity (VO2max ) = 64 ± 7 ml/kg/min) donned an ear-based wearable and performed a passive heating (PAH), running (RUN) and brisk walking trial (WALK). PAH comprised of immersion in hot water (42.0 ± 0.3 °C). RUN (70 ± 3%VO2max ) and WALK (50 ± 10%VO2max ) were conducted in an environmental chamber (Tdb = 30.0 ± 0.2 °C, RH = 71 ± 2%). Several Tc models, developed using Tac , Tea and heart rate, were validated against gastrointestinal temperature. Inclusion of Tea as a model input improved the accuracy of the ear-based Tc algorithm. Our best performing model (Trf3 ) displayed good group prediction errors (mean bias error = - 0.02 ± 0.26 °C) but exhibited individual prediction errors (percentage target attainment ± 0.40 °C = 88%) that marginally exceeded our validity criterion. Therefore, Trf3 demonstrates potential utility for group-based Tc monitoring, with additional refinement needed to extend its applicability to personalized heat strain monitoring., (© 2024. The Author(s).)- Published
- 2024
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