Integrating model and smartphone technologies for cold-water thermoregulation assessment

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.344042

Keywords:

model, physical activity in water, cold stress, extreme environment, health risk

Abstract

This study investigates human thermal and physiological responses during water immersion. The task addressed relates to the current gap between sophisticated, expert-driven mathematical models of thermoregulation and the practical demand for accessible tools to assess thermal risks in open water.

To bridge the gap, this paper proposes a method based on the integration of a multicompartmental mathematical model of human thermoregulation with a mobile application. The results of the study confirm the method's effectiveness in predicting human physiological responses during water immersion. Model validation against experimental data demonstrated strong concordance, particularly in reproducing core temperature dynamics under cold-water exposure (Theil index ≈ 0; t(9) = 2.16, p > 0.05).

Modeling results indicate that moderate activity (300 W) in water at a temperature of 10°C leads to a decrease in internal temperature, whereas higher activity levels (600 W) are sufficient to maintain normal body temperature. Wetsuits play a critical role in preserving human temperature regime during cold-water immersion; without a wetsuit, passive immersion at 17°C results in hypothermia within 60 minutes (Tcore < 36°C). Conversely, during high-intensity exercise (1100 W), wetsuits may increase thermal strain, with body temperature rising to 39.2°C over 60 minutes, while in the absence of protective clothing – Tcore = 38.1°C.

The findings provide quantitative insights into the influence of water, immersion level, activity, and wetsuit on human thermal responses. The app that was developed could predict safety guidelines for aquatic sports and recreational activities.

Author Biographies

Irena Yermakova, Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine

Doctor of Biological Sciences, Professor, Chief Researcher

Department of Integrated Information Technology Research

Oleksandr Volkov, Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine

PhD, Senior Researcher

Director

Anastasiia Nikolaienko, Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine

PhD, Senior Researcher, Senior Research Fellow

Department of Integrated Information Technology Research

Oleh Hrytsaiuk, Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine

Junior Researcher, PhD Student

Department of Integrated Information Technology Research

Julia Tadeieva, Institute of Information Technologies and Systems of the National Academy of Sciences of Ukraine

PhD, Senior Researcher

Department of Integrated Information Technology Research

References

  1. Knechtle, B., Waśkiewicz, Z., Sousa, C. V., Hill, L., Nikolaidis, P. T. (2020). Cold Water Swimming – Benefits and Risks: A Narrative Review. International Journal of Environmental Research and Public Health, 17 (23), 8984. https://doi.org/10.3390/ijerph17238984
  2. Tipton, M. J., Collier, N., Massey, H., Corbett, J., Harper, M. (2017). Cold water immersion: kill or cure? Experimental Physiology, 102 (11), 1335–1355. https://doi.org/10.1113/ep086283
  3. Macaluso, F., Barone, R., Isaacs, A. W., Farina, F., Morici, G., Di Felice, V. (2013). Heat Stroke Risk for Open-Water Swimmers During Long-Distance Events. Wilderness & Environmental Medicine, 24 (4), 362–365. https://doi.org/10.1016/j.wem.2013.04.008
  4. Tipton, M., Bradford, C. (2014). Moving in extreme environments: open water swimming in cold and warm water. Extreme Physiology & Medicine, 3 (1). https://doi.org/10.1186/2046-7648-3-12
  5. Drigny, J., Rolland, M., Pla, R., Chesneau, C., Lebreton, T., Marais, B. et al. (2021). Risk Factors and Predictors of Hypothermia and Dropouts During Open-Water Swimming Competitions. International Journal of Sports Physiology and Performance, 16 (11), 1692–1699. https://doi.org/10.1123/ijspp.2020-0875
  6. Høiseth, L. Ø., Melau, J., Bonnevie-Svendsen, M., Nyborg, C., Eijsvogels, T. M. H., Hisdal, J. (2021). Core Temperature during Cold-Water Triathlon Swimming. Sports, 9 (6), 87. https://doi.org/10.3390/sports9060087
  7. Brannigan, D., Rogers, I. R., Jacobs, I., Montgomery, A., Williams, A., Khangure, N. (2009). Hypothermia Is a Significant Medical Risk of Mass Participation Long-Distance Open Water Swimming. Wilderness & Environmental Medicine, 20 (1), 14–18. https://doi.org/10.1580/08-weme-or-214.1
  8. Markey, K., Galan-Lopez, N., Esh, C., Carter, S., Chrismas, B., Mountjoy, M. et al. (2025). Thermoregulatory responses in open water and pool swimming: Presentation of hypothermia and hyperthermia within and outside of World Aquatics water temperature thresholds. Journal of Science and Medicine in Sport. https://doi.org/10.1016/j.jsams.2025.07.004
  9. Chalmers, S., Shaw, G., Mujika, I., Jay, O. (2021). Thermal Strain During Open-Water Swimming Competition in Warm Water Environments. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.785399
  10. Dolson, C. M., Harlow, E. R., Phelan, D. M., Gabbett, T. J., Gaal, B., McMellen, C. et al. (2022). Wearable Sensor Technology to Predict Core Body Temperature: A Systematic Review. Sensors, 22 (19), 7639. https://doi.org/10.3390/s22197639
  11. Jegan, R., Nimi, W. S. (2023). On the development of low power wearable devices for assessment of physiological vital parameters: a systematic review. Journal of Public Health, 32 (7), 1093–1108. https://doi.org/10.1007/s10389-023-01893-6
  12. Vaghasiya, J. V., Mayorga-Martinez, C. C., Pumera, M. (2023). Wearable sensors for telehealth based on emerging materials and nanoarchitectonics. Npj Flexible Electronics, 7 (1). https://doi.org/10.1038/s41528-023-00261-4
  13. Beachsafe Website & App. Available at: https://www.surflifesaving.com.au/beach-safety/beachsafe-website
  14. Jalalifar, S., Kashizadeh, A., Mahmood, I., Belford, A., Drake, N., Razmjou, A., Asadnia, M. (2022). A Smart Multi-Sensor Device to Detect Distress in Swimmers. Sensors, 22 (3), 1059. https://doi.org/10.3390/s22031059
  15. Rush – Assisting lifeguards in locating and rescuing drowning victims to enhances swimming safety. Available at: https://designawards.core77.com/Sports-Outdoors/131064/Rush-Assisting-lifeguards-in-locating-and-rescuing-drowning-victims-to-enhances-swimming-safety.html
  16. Introducing GUARDian – The Most Advanced Drowning Detection System Ever Made. Available at: https://wavedds.com/guardian-system
  17. Drowning Prevention Technology. Available at: https://www.blueguardme.com/drowning-prevention-technology
  18. Castellani, M. P., Rioux, T. P., Castellani, J. W., Reed, M. D., Whalen, S., Cisternelli, M. et al. (2023). Validation of a human thermoregulatory model during prolonged immersion in warm water. Computers in Biology and Medicine, 167, 107575. https://doi.org/10.1016/j.compbiomed.2023.107575
  19. Keefe, A. A., Tikuisis, P. (2008). A guide to making stochastic and single point predictions using the Cold Exposure Survival Model (CESM). Defence R&D Canada. Available at: https://apps.dtic.mil/sti/pdfs/ADA489046.pdf
  20. Tipton, M., McCormack, E., Elliott, G., Cisternelli, M., Allen, A., Turner, A. C. (2022). Survival time and search time in water: Past, present and future. Journal of Thermal Biology, 110, 103349. https://doi.org/10.1016/j.jtherbio.2022.103349
  21. Potter, A. W., Yermakova, I. I., Hunt, A. P., Hancock, J. W., Oliveira, A. V. M., Looney, D. P., Montgomery, L. D. (2021). Comparison of two mathematical models for predicted human thermal responses to hot and humid environments. Journal of Thermal Biology, 97, 102902. https://doi.org/10.1016/j.jtherbio.2021.102902
  22. Yermakova, I., Montgomery, L. D. (2018). Predictive Simulation of Physiological Responses for Swimmers in Cold Water. 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), 292–297. https://doi.org/10.1109/elnano.2018.8477523
  23. Yermakova, I., Montgomery, L. D., Nikolaienko, A., Bondarenko, Y., Ivanushkina, N. (2021). Modeling Prediction of Human Thermal Responses in Warm Water. Medical Informatics and Engineering, 1, 51–60. Available at: https://ojs.tdmu.edu.ua/index.php/here/article/view/12190/11551
  24. Yermakova, I., Montgomery, L., Potter, A. W. (2022). Mathematical model of human responses to open air and water immersion: Modeling human thermoregulatory responses. Journal of Sport and Human Performance, 10 (1), 30–45. Available at: https://jhp-ojs-tamucc.tdl.org/JHP/article/view/187
  25. Yermakova, I. I., Potter, A. W., Chapman, C. L., Friedl, K. E. (2025). Modeling physiological and thermoregulatory responses during an Olympic triathlon. Journal of Thermal Biology, 131, 104203. v
  26. Hansen, J. F. (2015). Nusselt, Rayleigh, Grashof, and Prandtl: Direct calculation of a user-defined convective heat flux. In Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble, 1–5. Available at: https://www.comsol.com/paper/download/291661/hansen_paper.pdf
  27. Nadel, E. R., Holmér, I., Bergh, U., Astrand, P. O., Stolwijk, J. A. (1974). Energy exchanges of swimming man. Journal of Applied Physiology, 36 (4), 465–471. https://doi.org/10.1152/jappl.1974.36.4.465
  28. Boutelier, C., Bougues, L., Timbal, J. (1977). Experimental study of convective heat transfer coefficient for the human body in water. Journal of Applied Physiology, 42 (1), 93–100. https://doi.org/10.1152/jappl.1977.42.1.93
  29. Henderson, M. E. T., Halsey, L. G. (2022). The metabolic upper critical temperature of the human thermoneutral zone. Journal of Thermal Biology, 110, 103380. https://doi.org/10.1016/j.jtherbio.2022.103380
  30. Rostomily, K. A., Jones, D. M., Pautz, C. M., Ito, D. W., Buono, M. J. (2020). Haemoconcentration, not decreased blood temperature, increases blood viscosity during cold water immersion. Diving and Hyperbaric Medicine Journal, 50 (1), 24–27. https://doi.org/10.28920/dhm50.1.24-27
  31. Yermakova, I., Ntoumani, M., Potter, A. W. (2024). Modeling thermophysiological responses during head-in and head-out whole-body water immersion. Journal of Sport and Human Performance, 12 (1), 32–43. Available at: https://jhp-ojs-tamucc.tdl.org/JHP/article/view/196
  32. Yermakova, I. I., Potter, A. W., Raimundo, A. M., Xu, X., Hancock, J. W., Oliveira, A. V. M. (2022). Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments. International Journal of Environmental Research and Public Health, 19 (13), 7950. https://doi.org/10.3390/ijerph19137950
  33. Yermakova, I., Nikolaienko, A., Solopchuk, Y., Regan, M. (2015). Modelling of human cooling in cold water: effect of immersion level. Extreme Physiology & Medicine, 4 (S1). https://doi.org/10.1186/2046-7648-4-s1-a132
  34. Crotti, G., Cantù, R., Malavasi, S., Gatti, G., Laurano, C., Svelto, C. (2024). Wetsuit Thermal Resistivity Measurements. Sensors, 24 (14), 4561. https://doi.org/10.3390/s24144561
  35. Competition Regulations. World Aquatics. Available at: https://www.worldaquatics.com/swimming/rules
Integrating model and smartphone technologies for cold-water thermoregulation assessment

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Published

2025-12-31

How to Cite

Yermakova, I., Volkov, O., Nikolaienko, A., Hrytsaiuk, O., & Tadeieva, J. (2025). Integrating model and smartphone technologies for cold-water thermoregulation assessment . Eastern-European Journal of Enterprise Technologies, 6(2 (138), 63–71. https://doi.org/10.15587/1729-4061.2025.344042

Issue

Vol. 6 No. 2 (138) (2025): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2025 Irena Yermakova, Oleksandr Volkov, Anastasiia Nikolaienko, Oleh Hrytsaiuk, Julia Tadeieva

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