Thermoregulatory model to predict physiological status from ambient environment and heart rate

Miyo Yokota, Larry Berglund, Samuel Cheuvront, William Santee, William Latzka, Scott Montain, Margaret Kolka, Daniel Moran

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

A real-time thermoregulatory model was developed for predicting real-time physiological responses of workers engaged in various tasks for prolonged time. The unique feature of the present model is primarily on metabolic activity inputs derived from minimum non-invasive measures (i.e., heart rate and ambient temperature). In addition, it utilizes individual anthropological characteristics (height, weight, and clothing) as an input to estimate core temperatures (Tc). The model was validated using data from five laboratory studies (n=63) with varied environments, clothing, and heat acclimation status. Overall, Tc predictions using this simplified model, corresponded well with measured values (root mean square deviation: 0.05-0.31 °C).

Original languageEnglish
Pages (from-to)1187-1193
Number of pages7
JournalComputers in Biology and Medicine
Volume38
Issue number11-12
DOIs
StatePublished - Nov 2008
Externally publishedYes

Keywords

  • Air temperature
  • Core temperature
  • Heart rate
  • Heat stress
  • Real-time modeling

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