Registration Number
0224U031391,
0121U109463
, R & D reports
Title
Create methods and information systems for analyzing the information of intelligent sensors in order to monitor the functional state of man
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Head
Petrukhin Volodymyr О., д.ф.-м.н.
Registration Date
22-04-2024
Organization
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine
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The goal of the research is to develop applications for analyzing information from intelligent sensors (real databases) to monitor the functional state of humans. This includes monitoring functional and adaptive reserves of the human body to support a healthy lifestyle. The research involves diagnostic tools for assessing psycho-physiological state levels based on the use of mobile gadgets, sensors, and Internet network services.
Research Methods:
To address the development tasks of information analysis applications for intelligent sensors, optimization methods, mathematical analysis, and mathematical statistics are utilized. The implemented software complexes are created using Java and Kotlin programming languages within the Android Studio software package. Technologies such as RxJava, OrmLite, Retrofit, and Apache Commons Math are employed in the research.
Results:
Developed methods and algorithms for analyzing information from intelligent sensors provide Internet users with fundamentally new services for disease prevention and addressing their root causes at early stages.
Prototypes of a healthy lifestyle support system using sensors and mobile gadgets have been developed and tested within the Internet network and operating systems such as Android, iOS, and Windows. These systems implement modern methods and technologies for the systemic analysis of information from intelligent sensors (real databases) to monitor the human functional state.
It has been established that the stress index is an individual parameter dependent on gender, age, time of day, subjective feelings of fatigue and tension, stationary position, etc. Correlation between the dynamics of stress index increase and adaptation difficulty to changes in time zones has been identified. High stability of RR-interval duration values to recording artifacts and anomalies such as extrasystoles, even in subjectively healthy individuals, has been demonstrated through testing.
Product Description
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Panteleimonov Andrii A.
Petrukhin Volodymyr O.
Shchetynin Dmytro I.
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2024-04-22
