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Design and development of an IoT-based Automated Health Monitoring System.
The Automated Health Monitoring System is designed to continuously track vital health parameters such as heart rate, body temperature, and oxygen levels. It uploads this data to a cloud platform for real-time monitoring and alerts. This system is particularly useful for patients with chronic health conditions and provides caregivers with timely insights into the patient’s health, ensuring faster responses during emergencies. The project combines wearable technology with IoT to enhance healthcare accessibility and efficiency.
The system uses an ESP32 microcontroller integrated with multiple sensors to measure vital signs. The heart rate sensor, temperature sensor (LM35), and pulse oximeter sensor collect health data, which is displayed on a compact OLED screen (128x64). The ESP32’s built-in Wi-Fi module uploads the collected data to Firebase, a cloud platform, enabling real-time monitoring and alert notifications. The project is simulated using Proteus to ensure accurate implementation.
The ESP32 microcontroller collects data from the connected sensors. This data is displayed on the OLED screen for local monitoring and simultaneously uploaded to the Firebase cloud platform. The system sends alerts to caregivers or medical professionals if any health parameter crosses the predefined threshold. By simulating the project in Proteus, developers can test and refine the system for optimal performance.
