E-Health is the activity with the usage of electronic information resources in the health sector and it ensures rapid access of medical professionals and patients to them. This paper presents an approach to the e-Health monitoring system development based on the IoT (internet of things technology) technologies. For such kind of system designing the Hub IoT technology and mathematical apparatus of fuzzy logic are suggested. The paper deals with the analysis of existing technologies IoT, discovered the using cloud services advantages for data processing and storage in the IoT systems (in particular IoT Hub). To improve the cloud service efficiency for data transmission and processing the approach to preprocessing data in e-Health monitoring system is proposed. This approach takes into account the software and hardware infrastructure as the common influence factor. For understanding the specificity of medical data it is proposed to use the mathematical methods based on fuzzy logic for data processing.
The Internet-of-Things (IoT) is penetrating in every sphere of a human life simplifying his everyday life and rising his labor efficiency. There are a lot of challenges on its way of development. Additional challenges appear when considering the IoT systems with nomadic units. The paper is dedicated to the problem of data collecting, processing and storing in the IoT system containing nomadic units. One of the difficulties in such systems' developing is a problem of data volumes reducing for its transferring. For system efficiency improving it is proposed to use an additional transitional hub interacting with the Cloud services.
The Internet-of-Things (IoT) is penetrating in every sphere of a human life simplifying his everyday life and rising his labor efficiency. There are a lot of challenges on its way of development. Additional challenges appear when considering the IoT systems with nomadic units. The paper is dedicated to the problem of data collecting, processing and storing in the IoT system containing nomadic units. One of the difficulties in such systems' developing is a problem of data volumes reducing for its transferring. For system efficiency improving it is proposed to use an additional transitional hub interacting with the Cloud services.
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