IOT BASED ANESTHESIA CONTROL AND MONITORING SYSTEM

This paper introduces an integrated IoT-based anesthesia control system, incorporating Raspberry Pi Pico microcontroller and vital sign sensors, alongside a cloud server component for remote monitoring and dosage adjustment. The system enables real-time monitoring of pulse rate, SpO2 levels, respiratory gases, and body temperature, with clinicians remotely accessing patient vital signs data and adjusting anesthesia dosage in milligrams per kilogram (mg/kg) as required. The architecture, sensor integration, cloud server setup, dosage adjustment mechanism, and experimental results are discussed, emphasizing the system's scalability, accessibility, and safety for anesthesia management. The integration of the IoT cloud server enhances the system's capabilities, facilitating precise anesthesia administration and remote monitoring in clinical settings.