YERMAKOVA I.I., DSc (Biology), Professor,
Leading Researcher of the Department of Complex Research
of Information Technologies
https://orcid.org/0000-0002-9417-1120, e-mail: irena.yermakova@gmail.com
HRYTSAIUK O.V.,
Junior Researcher of the Department of Complex Research
of Information Technologies,
https://orcid.org/0000-0002-9019-4894, e-mail: olegva11@gmail.com
International Research and Training Center for Information
Technologies and Systems of the National Academy of Sciences of Ukraine
and the Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., 03187, Kyiv, Ukraine
SMARTWATCH FOR PREDICTING HUMAN CONDITION UNDER EXTREME ENVIRONMENTAL CONDITIONS
Introduction. Global warming, population growth, and urbanization—with increasing building density — create high risk conditions for humans. Even those adapted to climate change may be unprepared for sudden heat waves, which have adverse health effects. Currently, there are several smartwatch applications available that assess human thermal comfort in various environmental conditions. However, there is a lack of technology that can provide early warnings about the dangers of hot environments.
The purpose of the paper is to develop a smartwatch application designed to assess the condition of individuals in hot environmental conditions.
Results. A smartwatch application has been developed to predict human thermal status in hot environmental conditions. The application takes into account environmental conditions, clothing, and physical activity levels.
Conclusions. The smartwatch integrates mathematical models of human thermoregulation with modern mobile technologies. This allows for predicting a person’s thermophysiological state in extreme environmental conditions. The developed approach enables the prevention of health damage under various environmental conditions and levels of physical activity.
Keywords: model, human thermoregulation, smartwatch, heat, physical activity, protective clothing.
REFERENCES
1. Klein T., Anderegg W. R. L. A vast increase in heat exposure in the 21st century is driven by global warming and urban population growth. Sustainable Cities and Society, 2021, Vol. 73, 103098. ISSN 2210-6707.
https://doi.org/10.1016/j.scs.2021.103098
2. Helbling M., Meierrieks D. Global warming and urbanization. Journal of Population Economics, 2023, Vol. 36, No. 3, pp. 1187-1223.
https://doi.org/10.1007/s00148-022-00924-y
3. Kumar P., Sharma A. Study on importance, procedure, and scope of outdoor thermal comfort – A review. Sustainable Cities and Society, 2020, Vol. 61, 102297. ISSN 2210-6707.
https://doi.org/10.1016/j.scs.2020.102297
4. Indian voters battle extreme temperatures as intense heat wave hits region https://edition.cnn.com/2024/04/25/india/india-election-heat-wave-climate-intl-hnk/index.html
5. Indian voters battle extreme temperatures as intense heat wave hits region https://www.nytimes.com/2024/06/21/world/middleeast/saudi-arabia-hajj-pilgrimage-heat-death.html
6. Zare S., Shirvan H. E., Hemmatjo R., Nadri F., Jahani Y., Jamshidzadeh K., Paydar P. A comparison of the correlation between heat stress indices (UTCI, WBGT, WBDT, TSI) and physiological parameters of workers in Iran. Weather and Climate Extremes, 2019, Vol. 26, 100213. ISSN 2212-0947.
https://doi.org/10.1016/j.wace.2019.100213
7. Kamal A.S.M.M., Fahim A.K.F., Shahid S. Changes in wet bulb globe temperature and risk to heat-related hazards in Bangladesh. Scientific Reports, 2024, Vol. 14, 10417.
https://doi.org/10.1038/s41598-024-61138-8
8. Coronato T., Carril A.F., Zaninelli P.G. et al. Exploring warm extremes in South America: insights into regional climate change projections through dry-bulb and wet-bulb temperatures. Climate Dynamics, 2024, Vol. 62, pp. 4391-4410.
https://doi.org/10.1007/s00382-024-07140-2
9. UTCI Universal Thermal Climate Index https://www.utci.org/
10. Chindapol S., Blair J., Osmond P., Prasad D. A Suitable Thermal Stress Index for the Elderly in Summer Tropical Climates. Procedia Engineering, 2017, Vol. 180, pp. 932-943. ISSN 1877-7058.
https://doi.org/10.1016/j.proeng.2017.04.253
11. Ergonomics of the thermal environment – Analytical determination and interpretation of heat stress using the predicted heat strain model (ISO/DIS 7933:2018).
12. Folkerts M. A., Boshuizen A. W., Gosselink G., Gerrett N., Daanen H.A. M., Gao C., Toftum J., Nybo L., Kingma B. R. M. (2021). Predicted and user perceived heat strain using the ClimApp mobile tool for individualized alert and advice. Climate Risk Management, 34, 100381
https://doi.org/10.1016/j.crm.2021.100381
13. The Predicted Heat Strain Mobile Application. Available At: https://www.thethermalenvironment.com/the-predicted-heat-strain-mobile-application/
14. Human Thermal Audit Simulator. Available At: https://www.nicholasravanelli.ca/hutas/
15. Garmin Health Science. Available At: https://www.garmin.com/en-US/garmin-technology/health-science/
16. Best Hiking And Outdoor Watches For Adventurers And Ultra Runners. Available At: https://www.wareable.com/smartwatches/best-outdoor-watches-2236
17. Nazarian N., Liu S., Kohler M., Lee J. K. W., Miller C., Chow W. T. L., Alhadad S. B., Martilli A., Quintana M., Sunden L. Project Coolbit: can your watch predict heat stress and thermal comfort sensation? Environmental Research Letters, 2021, Vol. 16, No. 3, 034031.
https://doi.org/10.1088/1748-9326/abd130
18. Kim J., Schiavon S., Brager G. Personal comfort models – A new paradigm in thermal comfort for occupant-centric environmental control. Building and Environment, 2018, Vol. 132, pp. 114-124. ISSN 0360-1323.
https://doi.org/10.1016/j.buildenv.2018.01.023
19. Jayathissa P., Quintana M., Sood T., Nazarian N., Miller C. Is your clock-face cozie? A smartwatch methodology for the in-situ collection of occupant comfort data. Journal of Physics: Conference Series, 2019, Vol. 1343, 012145.
https://doi.org/10.1088/1742-6596/1343/1/012145
20. Hamatani T., Uchiyama A., Higashino T. HeatWatch: Preventing heatstroke using a smart watch. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kona, HI, USA, 2017, pp. 661-666.
https://doi.org/10.1109/PERCOMW.2017.7917642
21. Gagge A. P., Stolwijk J. A. J., Nishi Y. An effective temperature scale based on a simple model of human physiological regulatory response. Memoirs of the Faculty of Engineering, Hokkaido University, 1972, Vol. 13(Suppl), pp. 21-36. https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/37901/1/13Suppl_21-36.pdf
22. Yermakova I., Nikolaienko A., Grigorian A. (2013). Dynamic model for evaluation of risk factors during work in hot environment. Journal of Physical Science and Application, David Publishing Company, USA, 3 (4), 238-243. http://www.davidpublisher.org/Article/index?id=38225.html
23. 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
24. Yermakova I.I., Ntoumani M., Potter A.W. “Modeling thermophysiological responses during head-in and head-out whole-body water immersion.” Journal of Sport and Human Performance 2024; 12(1):32-43.
25. Yermakova I.I., Potter A.W., Raimundo A.M., Xu X., Hancock J.W, Oliveira A.V.M. “Use of thermoregulatory models to evaluate heat stress in industrial environments.” Journal of Environmental Research and Public Health, 2022, vol. 19 (13), 7950.
https://doi.org/10.3390/ijerph19137950
26. Yermakova I., Nikolaienko A., Hrytsaiuk O., Tadeieva J., Kravchenko P. Use a smartphone app for predicting human thermal responses in hot environment. Eastern-European Journal of Enterprise Technologies, 2024, 2(128): 39-47.
https://doi.org/10.15587/1729-4061.2024.300784
27. ISO 7933 (2018) Ergonomics Of The Thermal Environment -Analytical Determination And Interpretation Of Heat Stress Using The Predicted Heat Strain Model. International Standard Organization, Geneva.
28. Casa DJ, Almquist J, Anderson S. Inter-association task force on exertional heat illnesses consensus statement. NATA News. 2003;6:24-29.
29. Gagnon D, Lemire BB, Casa DJ, Kenny GP. Cold-water immersion and the treatment of hyperthermia: using 38.6 degrees C as a safe rectal temperature cooling limit. J Athl Train. 2010;45(5):439-444.
https://doi.org/10.4085/1062-6050-45.5.439
Received 13.09.2024
