Literature DB >> 3769464

Prediction modeling of physiological responses and human performance in the heat.

K B Pandolf, L A Stroschein, L L Drolet, R R Gonzalez, M N Sawka.   

Abstract

Over the last two decades, our laboratory has been establishing the data base and developing a series of predictive equations for deep body temperature, heart rate and sweat loss responses of clothed soldiers performing physical work at various environmental extremes. Individual predictive equations for rectal temperature, heart rate and sweat loss as a function of the physical work intensity, environmental conditions and particular clothing ensemble have been published in the open literature. In addition, important modifying factors such as energy expenditure, state of heat acclimation and solar heat load have been evaluated and appropriate predictive equations developed. Currently, we have developed a comprehensive model which is programmed on a Hewlett-Packard 41 CV hand held calculator. The primary physiological inputs are deep body (rectal) temperature and sweat loss while the predicted outputs are the expected physical work--rest cycle, the maximum single physical work time if appropriate, and the associated water requirements. This paper presents the mathematical basis employed in the development of the various individual predictive equations of our heat stress model. In addition, our current heat stress prediction model as programmed on the HP 41 CV is discussed from the standpoint of propriety in meeting the Army's needs and therefore assisting in military mission accomplishment.

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Year:  1986        PMID: 3769464     DOI: 10.1016/0010-4825(86)90001-6

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  9 in total

1.  Sweat loss prediction using a multi-model approach.

Authors:  Xiaojiang Xu; William R Santee
Journal:  Int J Biometeorol       Date:  2010-10-04       Impact factor: 3.787

2.  Evaluation of the limits to accurate sweat loss prediction during prolonged exercise.

Authors:  Samuel N Cheuvront; Scott J Montain; Daniel A Goodman; Laurie Blanchard; Michael N Sawka
Journal:  Eur J Appl Physiol       Date:  2007-05-30       Impact factor: 3.078

3.  Effects of metabolic rate and ambient vapour pressure on heat strain in protective clothing.

Authors:  T M McLellan; J I Pope; J B Cain; S S Cheung
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

4.  A comprehensive catalogue and classification of human thermal climate indices.

Authors:  C R de Freitas; E A Grigorieva
Journal:  Int J Biometeorol       Date:  2014-03-30       Impact factor: 3.787

5.  A comparison and appraisal of a comprehensive range of human thermal climate indices.

Authors:  C R de Freitas; E A Grigorieva
Journal:  Int J Biometeorol       Date:  2016-08-27       Impact factor: 3.787

6.  Predicting metabolic cost of running with and without backpack loads.

Authors:  Y Epstein; L A Stroschein; K B Pandolf
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1987

Review 7.  Human temperature regulation under heat stress in health, disease, and injury.

Authors:  Matthew N Cramer; Daniel Gagnon; Orlando Laitano; Craig G Crandall
Journal:  Physiol Rev       Date:  2022-06-09       Impact factor: 46.500

Review 8.  Heat Adaptation in Military Personnel: Mitigating Risk, Maximizing Performance.

Authors:  Iain T Parsons; Michael J Stacey; David R Woods
Journal:  Front Physiol       Date:  2019-12-17       Impact factor: 4.566

Review 9.  Wearable Sensors and Machine Learning for Hypovolemia Problems in Occupational, Military and Sports Medicine: Physiological Basis, Hardware and Algorithms.

Authors:  Jacob P Kimball; Omer T Inan; Victor A Convertino; Sylvain Cardin; Michael N Sawka
Journal:  Sensors (Basel)       Date:  2022-01-07       Impact factor: 3.576

  9 in total

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