Intelligent Architecture for Real-time Personal Health Monitoring in the Context of 3G/4G/5G Networks

In this study, we report on ongoing research aimed at developing an intelligent architecture for real-time health monitoring that adapts to the 3G/4G/5G communication context. It builds on the integration of (i) intelligent sensor devices capable of registering specific behavioural indicators, (ii) mobile personal devices, which serve primarily as data concentrators, information gateways and displays, and (iii) remote storage and processing resources, where health data are aggregated for advanced statistical processing. This architecture builds on the principles of distributed computing and resource storing at the network edge, yet it also relies on methods and technologies typically used in cloud-computing applications and 5G technology. More importantly, however, it is capable to sense the communication context and providing a seamless transition between environments with dissimilar communication capacities and allowing for graceful degradation of functionality in case of a shortage of battery or local storage resources. The last is expected to provide numerous benefits that are expected to facilitate the pervasiveness of eHealth monitoring solutions.