Journal
ERGONOMICS
Volume 58, Issue 11, Pages 1830-1841Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00140139.2015.1036792
Keywords
non-invasive; thermal-work strain; heat strain; fire-fighter monitoring; core temperature prediction
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First responders often wear personal protective equipment (PPE) for protection from on-the-job hazards. While PPE ensembles offer individuals protection, they limit one's ability to thermoregulate, and can place the wearer in danger of heat exhaustion and higher cardiac stress. Automatically monitoring thermal-work strain is one means to manage these risks, but measuring core body temperature (T-c) has proved problematic. An algorithm that estimates T-c from sequential measures of heart rate (HR) was compared to the observed T-c from 27 US soldiers participating in three different chemical/biological training events (45-90min duration) while wearing PPE. Hotter participants (higher T-c) averaged (HRs) of 140bpm and reached T-c around 39 degrees C. Overall the algorithm had a small bias (0.02 degrees C) and root mean square error (0.21 degrees C). Limits of agreement (LoA0.48 degrees C) were similar to comparisons of T-c measured by oesophageal and rectal probes. The algorithm shows promise for use in real-time monitoring of encapsulated first responders. Practitioner Summary: An algorithm to estimate core temperature (T-c) from non-invasive measures of HR was validated. Three independent studies (n=27) compared the estimated T-c to the observed T-c in humans participating in chemical/biological hazard training. The algorithm's bias and variance to observed data were similar to that found from comparisons of oesophageal and rectal measurements.
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