Issue 3 (213), article 2

DOI:https://doi.org/10.15407/kvt213.03.020

Cybernetics and Computer Engineering, 2023, 3(213)

Yermakova I.I.1, 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

Nikolaienko A.Yu.2, PhD (Engineering),
Assistant of the Department of Software Systems and Technologies
of the Faculty of Information Technology,
https://orcid.org/0000-0002-2402-2947,
e-mail: n_nastja@ukr.net

Hrytsaiuk O.V.1, PhD Student,
Junior Researcher of the Department of Complex Research of Information Technologies,
https://orcid.org/0000-0002-9019-4894,
e-mail: olegva11@gmail.com

Kravchenko P.M.1,
Senior Engineer of the Department of Complex Research of Information Technologies,
https://orcid.org/0000-0001-8137-5063,
e-mail: paul.kravchenko@gmail.com

Dorosh O.I.1,
Researcher of the Department of Complex Research of Information Technologies,
https://orcid.org/0000-0003-2488-0500,
e-mail: olehdd@gmail.com

1International 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,
40, Acad. Glushkova av., Kyiv, 03187, Ukraine

2Taras Shevchenko National University of Kyiv,
60, Volodymyrska str., Kyiv, 01033, Ukraine

INFORMATION TECHNOLOGY FOR PREDICTING OF HUMAN THERMOPHYSIOLOGICAL STATE IN COLD WATER

Introduction. Cold water is extreme environment for humans, which is attributed to the high thermal conductivity and heat capacity of water. People whose activities involve prolonged exposure to water with a temperature below 25 °C are at risk of hypothermia. The average temperature of the ocean’s surface waters fluctuates between 15 °C and 17 °C. Therefore, it’s important to inform all individuals who work, travel, engage in sports or relax by the sea, lakes or rivers in any region of the world about the risk of hypothermia. 

As of today, there are numerous mobile applications in the field of healthcare, but there is a lack of technology capable of preemptively alerting individuals to adverse conditions in water environments and providing appropriate recommendations. 

The purpose of the paper is to assess the safety of human presence in cold water using mobile technologies and mathematical models of human physiological systems.  

Results. An informational technology for predicting of human thermophysiological state in cold water has been developed with a client-server architecture. A key feature of this technology is the inclusion of modern mathematical models of human thermoregulation and heat exchange on server, which enable the consideration of environmental characteristics, physical activity, protective clothing, immersion level, and duration of human exposure to water.  

Conclusions. The proposed informational technology allows for the early detection of potential risks of hypothermia and provides recommendations for maintaining human health during cold water exposure. The utilization of the developed informational technology can prove valuable in the realm of healthcare for evaluating physiological reserves of the body and determining a safe duration for human presence in cold water.  

Keywords: informational technology, human thermoregulation model, risks of health, mobile applications, water environment, physical activity, protective clothing.
Download full text!

REFERENCES

1 Yermakova I., Montgomery L. Predictive Simulation of Physiological Responses for Swimmers in Cold Water. 2018 IEEE 38th International scientific conference electronics and nanotechnology (ELNANO). Kyiv, April 24-26. 2018. P. 292-297.
https://doi.org/10.1109/ELNANO.2018.8477523

2 Tipton M.J., Brooks C.J. The Dangers of Sudden Immersion in Cold Water. Survival at Sea for Mariners, Aviators and Search and Rescue Personnel. Brussels, Belgium. 2008. Chapter 3. P. 1-10. ISBN 978-92-837-0084.

3 Locarnini M.M., MishonovA.V., Baranova O.K., Boyer T.P., Zweng M.M., Garcia H.E., Smolyar I. World Ocean Atlas 2018. NOAA Atlas NESDIS 81. 2018. Vol. 1: Temperature. 52 p.

4 Competition Regulations. World Aquatics. Version in force of 5th July 2023. 543 p. URL: https://www.worldaquatics.com/swimming/rules

5 Dorosh N.V., Boyko O.V., Ilkanych K.I., Zayachkivska O.S., Basalkevych O.Y., Yermakova I.I., Dorosh O.I. M-health technology for personalized medicine. Development and modernization of medical science and practice: experience of Poland and prospects of Ukraine: Collective monograph. Vol.1. Lublin: Izdevnieciba “Baltija Publishing”, 2017. P. 66-855.

6 Gritsenko V.I., Yermakova I.I., Bogationkova A.I., Dorosh O.I. Information Technologies For Personalized m-Health. Visnyk of the National Academy of Sciences of Ukraine. 2016. No 2. P. 87-90. (in Ukrainian).
https://doi.org/10.15407/visn2016.02.087

7 Raimundo D.W. SwitP: Mobile Application for Real-Time Swimming Analysis. Distributed Computing Group. 2020 22p.

8 Yermakova I.I., Bogatonkova A.I., Nikolaienko A.Yu., Tadeeva J.P., Hrytsaiuk O.V., Solopchuk J.M. M-Health Technology for the Forecast of the Human Condition in Extreme Environmental Conditions. Cybernetics and Computer Engineering. Kyiv. 2021. No 3 (205). P. 84-97. (in Ukrainian).
https://doi.org/10.15407/kvt205.03.084

9 Beachsafe Website & App. URL: https://www.surflifesaving.com.au/beach-safety/beachsafe-website/

10 Shearwater Cloud Version 2.2.0 for Desktop and Mobile. URL: https://www.shearwater.com/ announcements/shearwater-cloud-version-2-2-0-for-desktop-and-mobile-is-now-available/

11 Mobile operating systems’ market share worldwide from 1st quarter 2009 to 2nd quarter 2023. URL: https://www.statista.com/statistics/272698/global-market-share-held-by-mobile-operating-systems-since-2009/

12 Android Developers. Guide to app architecture. URL: https://developer.android.com/ topic/architecture

13 Kostiuk Y. Shestak Y. The transport layer of the ISO/OSI model in computer networks. Commodities and markets. 2021. Vol. 40 (4). P. 49-58.
https://doi.org/10.31617/tr.knute.2021(40)05

14 Heron S. Advanced encryption standard (AES). Network Security. 2009. Vol. 2009 (12). P. 8-12.
https://doi.org/10.1016/S1353-4858(10)70006-4

15 Andriani R., Wijayanti S.E., Wibowo F.W. Comparision of AES 128, 192 and 256 bit algorithm for encryption and description file. In 2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE). Yogyakarta, Indonesia. November 13-14. 2018. P. 120-124.
https://doi.org/10.1109/ICITISEE.2018.8720983

16 Sury O. Use of the SHA-256 Algorithm With RSA, Digital Signature Algorithm (DSA), and Elliptic Curve DSA (ECDSA) in SSHFP Resource Records. Request for Comments. 2012. Vol. 6594. 9 p.
https://doi.org/10.17487/rfc6594

17 Yermakova I.I., Montgomery L.D., Potter A.W. Mathematical model of human responses to open air and water immersion: Modeling human thermoregulatory responses. Journal of Sport and Human Performance. 2022. Vol. 10(1). P. 30-45.

18 Yermakova I.I., Nikolaienko A.Yu., Bogatonkova A.I., Tadeeva J.P. Multifunctional Information System for Modeling of Human Thermophysiological State in Extreme Environments. Cybernetics and Computer Engineering. Kyiv. 2022. No 1 (207). C. 32-45. (in Ukrainian).
https://doi.org/10.15407/kvt207.01.032

19 Boutelier C., Bougues L., Timbal J. Experimental study of convective heat transfer coefficient for the human body in water. Journal of Applied Physiology. 1977. Vol. 42. No 1. P. 93-100.
https://doi.org/10.1152/jappl.1977.42.1.93

20 Rostomily K.A., Jones D.M., Pautz C.M., Ito D.W., Buono M.J. Haemoconcentration, not decreased blood temperature, increases blood viscosity during cold water immersion. Diving Hyperb Med. 2020. Vol. 50(1). P. 24-27.
https://doi.org/10.28920/dhm50.1.24-27

Received 26.06.2023