Complex of computer models for cold stress evaluation in water

Authors

  • І. I. Ermakova International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev
  • N. G. Ivanushkina National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev http://orcid.org/0000-0001-8389-7906
  • A. Yu. Nikolaenko International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev
  • Yu. N. Solopchuk International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev

DOI:

https://doi.org/10.20535/RADAP.2015.60.122-130

Keywords:

modelling, thermoregulation, hypothermia, water, cold stress

Abstract

Introduction. Due to the high value of water thermal conductivity comparing to air, stay of man in cold water (water temperature lower than 25 sup>°C) is associated with high life and health hazard. One of the ways to evaluate survival time of human in water is usage of statistics data about survivors and water temperature organized as tables and curves. Another method to evaluate survival time and physiological state of man in water is computer modelling of human thermoregulatory system. Computer modelling allows to predict human thermal state in extreme environment without health hazard for man.
Main body. Information technology based on complex of mathematical models was developed to predict human thermophysiological state in cold water. The main component of complex is mathematical model of shivering in muscles. Shivering increases heat production up to four-fivefold of basal metabolic rate. Human thermophysiological state in case of accidental water immersion at temperature range from 5 to 25 °C was predicted using information technology. In order to evaluate influence of immersion level on hypothermia, computer modelling was performed for cases of full immersion, head out of water and immersion with head and arms out of water.
Conclusions. Developed complex of computer models allows to predict human thermophysiological state and evaluate cold stress in wide range of water temperature and the immersion level. The modelling results showed that the cooling rate increases with reduction in water temperature and the increase in percentage of immersed human body. When water temperature below 25 °C heat loss is always higher than shivering in muscles, thus body core temperature reduces at all levels of immersion. The safest case of immersion is immersion with head and arms out of water.

Author Biographies

І. I. Ermakova, International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev

Ermakova I. I.

N. G. Ivanushkina, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Ivanushkina N. G.

A. Yu. Nikolaenko, International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev

Nikolaenko A. Yu.

Yu. N. Solopchuk, International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev

Solopchuk Yu. N.

References

Перечень источников

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References

Marino F., Booth J. J. Whole body cooling by immersion in water at moderate temperatures. Journal of Science and Medicine in Sport, 1998, no.1, pp. 73-81.

Molnar G. W. (1946) Survival of hypothermia by men immersed in the ocean. The journal of the american medical association, vol. 131, no. 13, pp. 1046-1050.

Golden F. (2002) Essentials of Sea Survival. USA, Human Kinetics, 320 p.

Montgomery L. D. (1974) A model of heat transfer in immersed man. Annals of Biomedical Engineering, vol. 2, no.1, pp. 19–46.

Wissler E. H. (1964) A Mathematical Model of the Human Thermal System. The Bulletin of Mathematical Biophysics, no.26, pp. 147–166.

Tikuisis P. and Keefe A. A. (1996) Prediction of sea survival time. Defence and Civil Insitute of Environmental Medicine DCIEM, vol. 96, no.12, pp. 12-32.

Xu X., Turner C. A. and Santee W. R. (2011) Survival Time Prediction in Marine Environments. Journal of Thermal Biology, vol. 36, no.6, pp. 340–345.

Yermakova I.I. (2013) Informatsyonnaia platforma multikompartmentalnykh modelei termoreguliatsyi cheloveka [Information platform of multicompartmental models of human thermoregulation]. Kibernetyka i vychislitelnaia tekhnika, no.174, pp. 81-91.

Yermakova I.I. and Solopchuk Y.M. (2013) Komp'yuternaya model termoreguliatsyi cheloveka pri pogruzhenii v vodu [Computer model of human thermoregulatory system during immersion]. Kibernetyka i vychislitelnaia tekhnika, no.172, pp. 39-48.

Yermakova I.I., Solopchuk Y.M. and Tadeeva J.P. (2012) Heat exchange model for prediction of human thermal state in water. Electronics and Nanotechnology, Proc. XXXІІ int. conf., P.200.

Yermakova I., Solopchuk Y. and Khudyakova L. (2013) Heat production, heat transfer and heat exchange in man during water immersion. Electronics and Nanotechnology, Proc. IEEE XXXІІI int. conf., pp. 290-292.

Yermakova I., Solopchuk Y. and Nikolaienko A. (2014) Model termoreguliatsyi cheloveka dlia otsenki kholodovogo stressa na vozdukhe i v vode [Model of human thermoregulation for cold stress evaluation in air and water]. Upravliaiushchie sistemy i mashyny, no.5, pp. 6-12.

Eyolfson, D. A., Tikuisis, P., Xu, X., Weseen, G. and Giesbrecht, G. G. (2001) Measurement and prediction of peak shivering intensity in humans. European Journal of Applied Physiology, vol.84, no.1-2, pp. 100–106.

Published

2015-03-30

How to Cite

Ермакова, И. И., Иванушкина, Н. Г., Николаенко, А. Ю. and Солопчук, Ю. Н. (2015) “Complex of computer models for cold stress evaluation in water”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, 0(60), pp. 122-130. doi: 10.20535/RADAP.2015.60.122-130.

Issue

Section

Radioelectronics Medical Technologies