## 5 Discussion
The Monit4 Healthy system optimizes its flexibility by setting priorities and organizing the transmission of data at the edge level so that measured parameters undergo processing with the lowest possible level of latency. The system optimizes network use while keeping high-accuracy biomedical data collected by dynamically changing data transmission priorities based on sensor type and real-time health parameters. These features define the Monit4 Healthy system as a scalable option for healthcare and remote patient monitoring solutions, wherein energy-efficient, low-latency functioning is required for the continuous tracking of the health status. The Monit4 Healthy system's _multi-sensor fusion-based architecture_ faces the drawbacks of single-sensor monitoring systems by enabling thorough health evaluations. The system increases the accuracy of diagnosis through linking many health information by means of the integration of ECG, EMG, PPG, and GSR sensors. Its flexible and modular architecture reinforces its application within connected healthcare ecosystems by facilitating adoption throughout a variety of healthcare environments, from clinical settings to home-based monitoring. The Monit4 Healthy system represents _an opportunity for integration with smart city infrastructures_ beyond its main capabilities. The system may assist and provide support to digital health analytics platforms, emergency response coordination, and real-time health surveillance by integrating into already-existing urban IoT infrastructures. Large-scale urban health monitoring solutions may benefit from its scalable architecture and acquired data transmission structure through easy interoperability with healthcare services at the city level and AI-driven analytics, leading to the improvement of population-wide health assessment and resource management. In enabling predictive disease modeling and enhancing the use of healthcare resources, this potential integration fosters proactive health monitoring enlarged to the population level. The Monit4 Healthy system seems to be appropriate for usage in assisted living environments, such as chronic disease management within smart healthcare regions, and elderly care, due to its secure data transmission capabilities and real-time biomedical sensor acquisition. Although Monit4 Healthy is primarily designed for remote and individualized health monitoring, the structured biomedical data it collects and processes can contribute to broader smart city healthcare ecosystems. In integrating anonymized health trends into municipal health platforms, the system can support data-driven decision making for resource allocation, urban health planning, and the early detection of community health risks. The potential interoperability of Monit4 Healthy with digital health infrastructures enables its integration with emergency response systems, allowing healthcare providers to access real-time patient data when needed. This capability underlines the role of the Monit4 Healthy system as a complementary component within connected health ecosystems, contributing to the development of more responsive and data-informed urban healthcare solutions. To make sure that its sensor fusion approaches, data transmission protocols, and real-time signal processing features operate as designed under simulated healthcare circumstances, the Monit4 Healthy system has undergone functional testing and validation in a controlled laboratory context. To verify that the system maintains high signal accuracy and reliable network transmission under various test situations, the testing process focused on assessing data reliability, sensor responsiveness, and connectivity stability. The system was evaluated using simulated physiological data inputs that emulated changing health monitoring circumstances in order to gauge real-time performance.