FIWARE-Based Internet of Robotic Things (IoRT) Platform for Secure, Scalable, and Remote Clinical Monitoring of Neurodegenerative Patients

The increasing prevalence of neurodegenerative diseases and the aging population demand innovative solutions for continuous patient monitoring and remote healthcare. This paper presents a FIWARE-based Internet of Robotic Things (IoRT) platform designed to enhance real-time patient monitoring, system interoperability, and data security. The proposed architecture integrates wearable sensors, telepresence robotics, and gesture recognition technologies within a modular, scalable, and privacy-preserving framework. The system leverages edge computing and event-driven communication to minimize latency, optimize bandwidth usage, and ensure efficient data exchange across heterogeneous medical devices. A series of virtual simulations replicating real-world healthcare scenarios were conducted to evaluate system performance, measuring key indicators such as latency, data retrieval efficiency, and scalability under stress conditions. Results demonstrate the platform's ability to support real-time monitoring with low latency and high reliability; however, performance degradation was observed under extreme workloads, indicating the need for further optimization. Future work will focus on enhancing scalability, integrating AI-driven predictive analytics, and deploying the platform in assisted living environments to validate its long-term usability and clinical impact.