Multifunctional mobile information system with feedback for analysis of human health and improved access to medical services

Boyko, Oksana; Дорош, Н. В.; Ilkanych, Kateryna; Basalkevych, Olena; Kuchmiy, H.; Yermakova, Irena; Dorosh, O.

doi:10.1109/aiact.2017.8020092

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…The analysis is performed by professional doctors for early detection of possible abnormalities. Examples of implementation and practical applications of the main modules of such system are described in [1].…”

Section: Analysis Of the Current State Of Infocommunication Technologmentioning

confidence: 99%

Infocommunication Technologies for Assessment and Prediction of Environment Impact on Human Health

Boyko

Дорош

Yermakova³

et al. 2020

IAPGOS

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An innovative concept and the structural organization of a modular system for long-term monitoring, analysis and correction of integrated health indicators of different groups of the population taking into account the impact of environmental factors and extreme conditions is described. The main elements of the system are a module for measuring physiological indicators that characterize the state of human health, a sensor module for selection and registration of environmental indicators, a data transmission module, a database, a module for comprehensive analysis of indicators, a forecasting module, a set of mathematical models, a module for results displaying. Methods of mathematical modelling and statistics were used to predict health state. The mobile application that allows to assign and take into account changes in environmental performance during physical activity, e.g. training weather conditions, such as temperature, relative humidity and wind speed, as well as the distance and duration of running, is developed. The results can be obtained numerically and graphically on the smartphone screen. The proposed system allows to predict the functional state of person in different environmental conditions. It will allow the user to make the right decision about the duration and intensity of physical activity in certain environmental conditions and choose the appropriate level of physical activity.

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Section: Analysis Of the Current State Of Infocommunication Technologmentioning

confidence: 99%

Infocommunication Technologies for Assessment and Prediction of Environment Impact on Human Health

Boyko

Дорош

Yermakova³

et al. 2020

IAPGOS

View full text Add to dashboard Cite

show abstract

“…Industrial automation, automatic driving and mobile medical services are identified as of paramount importance application scenarios for 5G-and-beyond [1]- [3]. To fully support these applications, it is critical to provide ultra high-reliable and low latency communications (URLLC) [4]- [7], with the end-to-end latency requirement being as low as 1 ms [8] and the reliability being more than 99.999% [9].…”

Section: Introductionmentioning

confidence: 99%

URLLC Packet Management for Packetized Predictive Control

Wang

Xie

Zhao

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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Packetized predictive control (PPC) is an effective solution to ensure the robustness of the control system over unreliable wireless links. However, conventional wireless transmission methods in PPC suffer from either high wireless resource consumption or poor performance of real-time control due to the separately design of the two parts. To deal with the issue, we propose a communicationcontrol co-design approach to achieve good trade-off between real-time control performance and communication energy efficiency. Our results demonstrate the advantages of the communication-control co-design.

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Measurement modules of digital biometrie medical systems based on sensory electronics and mobile-health applications

Дорош

Ilkanych

Kuchmiy

et al. 2018

2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET)

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Multifunctional mobile information system with feedback for analysis of human health and improved access to medical services

Cited by 3 publications

References 1 publication

Infocommunication Technologies for Assessment and Prediction of Environment Impact on Human Health

Infocommunication Technologies for Assessment and Prediction of Environment Impact on Human Health

URLLC Packet Management for Packetized Predictive Control

Measurement modules of digital biometrie medical systems based on sensory electronics and mobile-health applications

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