In this study, we designed and implemented a vital signs monitoring system capable of measuring heart rate and blood oxygen saturation (SpO₂). The system employs the MAX30102 optical sensor and a Raspberry Pi Pico 2W microcontroller to acquire and preprocess physiological data. The data are transmitted to a receiver using the low-power, long-range LoRa communication technology. At the receiver, the data are decoded and forwarded to the IoT platform ThingsBoard via the lightweight MQTT protocol. These data are visualized in real time on a graphical dashboard and an interactive Leaflet map, enabling analysis, recording, alerting, long-term monitoring, and location tracking. Experimental evaluation demonstrated satisfactory accuracy in signal measurement, reliable data transmission, and low power consumption, with acceptable performance in terms of transmission success rate, effective range, stability, and latency. The system can serve as a practical prototype for remote health monitoring in environments without stable internet infrastructure.

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