Issue 4 (194), article 2


Kibern. vyčisl. teh., 2018, Issue 4 (194), pp.

I.I. Yermakova, Professor, DSc (Biology),
Leading Researcher Dept. of Complex Research
of Information Technologies
e-mail: :

A.Y. Nikolaienko, Researcher,
Dept. of Complex Research of Information Technologies

Y.M. Solopchuk, Researcher,
Dept. of Complex Research of Information Technologies

O.V. Hrytsaiuk, 1st category software engineer,
Dept. of Complex Research of Information Technologies

J.P. Tadeiev, Ph.D. (Engineering), Senior Researcher,
Dept. of Complex Research of Information Technologies

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,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine


Introduction. Nowadays it can’t be imagined the development of personalized e-medicine without smartphone use. It involves the integration of information platforms, mobile applications and portable medical devices via cloud technologies into a single system. Predictive systems that can assess and prevent risk factors of human health in extreme environmental conditions is still absent in contemporary mobile personalized medicine. Combining the unique features of the service platform with the recent development of m-health allows to develop a unique information smartphone system for assessing the risk factors of human health in various environmental conditions. The system allows to collect personal data, integrate the data with another mobile app and gadget data and thus provide predictions of the human state.

The purpose of the article is to develop an intelligent information system
using smartphone technologies based on a multi-functional service platform for predicting a human functional state under extreme environmental conditions.

Results. A client-server architecture was used to build the intelligent information smartphone system, which allows a user to access the service platform (a key feature of the system) and a centralized database via the smartphone application.
The “client” is the smartphone application that uses network protocols to exchange data with the server. Data input, primary control and data transfer to the server, as well as receiv-ing and displaying the prediction results on the smartphone screen are the main functions of the app. The server software provides data management (receiving, processing, transferring and storing data in the databases), automatically controls the integrity and consistency of the information received and stored, manages multi-user access and confidentiality of databases of different users, logs system events, etc.
A unique distinctive feature of the developed system is the service platform for process-ing the entered conditions data and giving the prediction of human functional state. The pre-diction results are analyzed and, based on the results of the analysis, the system identifies probable health risk factors. The automatic analysis and decision making allow to classify the developed system as an intelligent information technology.

Conclusions. The smartphone-health system has been developed. The system has a client-server architecture that provides multi-user access to its resources and features.
The “client” is a smartphone application that allows a user to input, control and transfer the data to the server, and then receive and display the results on the screen. The server con-sists of a data flow manager, the service platform, prediction result database. The multifunc-tional service platform provides a user with the prediction of his functional state under chosen environmental conditions and physical activity.

Keywords: smartphone, e-health, human state prediction, mobile health, extreme environmental conditions.

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1. How Smartphone Technology Is Changing Healthcare In Developing Countries The Journal of Global Health. URL: Smartphone Technology Is Changing Healthcare In Developing Countries (Last accessed: 29.08.2018).

2. Garge G. K., Balakrishna C., Datta S. K. Consumer health care: Current trends in consumer health monitoring. IEEE Consumer Electronics Magazine. 2018. Vol. 7, No1. P. 38–46.

3. 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. 66–85.

4. 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)

5. Dorosh N., Ilkanych K., Kuchmiy H., Boyko I., Yermakova I., Dorosh O., Voloshyn D. Measurement modules of digital biometrie medical systems based on sensory electronics and mobile-health applications. Proceedings of the 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE (Slavske, 20–24th of Feb. 2018). Slavske, 2018. P. 687–691.

6. Masciantonio M. G., Surmanski A. A. Medical smartphone applications. University of Western Ontario Medical Journal. 2017. Vol. 86(2). P. 51–53.

7. Yermakova I. Information platform of multicompartmental models of human thermoregulatory system. Kibernetika i vycislitel`naa tehnika. 2013. Vol. 174. P. 81–91. (in Russian)

8. Gritsenko V., Yermakova I., Dukchnovskaya K., Tadejeva J. Dynamic models and information technologies for prediction of human vital functions. Control Systems and Computers, 2004, vol. 2, P. 56-60. (in Russian)

9. Kumar S., Nandury S. V., Raj S. An Extended Client Server Architecture in Mobile Environment. International Journal of Computer Engineering and Applications. 2014. Vol. 5(2). P. 97–107.

10. Armstrong L.E., Ganio M.S., Casa D.J., Lee E.C., McDermott B.P., Klau J.F., Jimenez L., Le Bellego L., Chevillotte E., Lieberman H. R. Mild Dehydration Affects Mood in Healthy Young Women. The Journal of nutrition. 2011. Vol. 142(2). P. 382–388.

Received 31.08.2018