Figure 3.

Architecture and main components of the proposed solution: real-time data are collected from the wearable device, which communicates with a smartphone to provide immediate alerts regarding health parameters such as heart rate, respiratory rate, temperature, and fall detection. The data flows into a robust Data Persistence Layer that employs both Redis for fast data caching and a main database for long-term storage. The backend system utilizes the MQTT protocol to effectively manage alarm notifications, ensuring timely responses to critical health events. Finally, the analytics component processes the collected data, enabling comprehensive data analysis.