Review of architectures in IoT remote patient monitoring systems

This review article examines different architectural approaches for IoTbased Remote Patient Monitoring Systems. Four different classification categories have been identified, each with their own strengths and weaknesses. Fog-based architectures reduce latency and enhance privacy through localized data processing. Cloud-based solutions offer robust storage and analytics capabilities, but struggle with latency and centralization. Hybrid systems combine edge and cloud computing to improve scalability and efficiency, while blockchain-enabled architectures focus on secure, decentralized data management. The findings from 11 original publications were summarized. This paper describes the characteristics of the identified approaches by examining common and unique concepts used by the solutions in the same classification category based on prior analysis.