Thermoregulatory Model to Predict Physiological Status from Ambient Environment and Heart Rate

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 deg C).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA491238

Entities

People

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

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acclimatization
  • Air Temperature
  • Biomedical Research
  • Clothing
  • Department Of Defense
  • Environment
  • Governments
  • Heart Rate
  • Information Operations
  • Military Research
  • National Governments

Readers

  • Exercise and Sports Science.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.