Abstract

A smart IoT system is created by combining different types of technologies. There is a need to create architecture for the whole system by combining such components. In this paper, a conceptual architecture of AI-enabled IoT system for knee rehabilitation exercises telemonitoring is proposed. This architecture is based on a generalized structure of a multilevel smart system for remote monitoring of patient health status. It aims to define early design decisions, implementation constraints and enables reuse. Describing also the structure, behavior, and more views of hardware, software, and networks hanging together in system configuration. In fact, the proposed system is comprised of four main levels: wearable measurement unit, gateway processing unit, data aggregation-analysis unit, and monitoring-visualization unit. Each level optimizing the solution of a particular task to achieve smart telemonitoring of the knee telerehabilitation process.

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