Smart Health Monitoring System with Esp32: Real-Time Data & Cloud Based Reports

This paper presents the design and development of a Smart Health Monitoring System using the ESP32 microcontroller. The system is designed to monitor key health parameters such as heart rate, body temperature, SpO2, and ECG in real-time. Using sensors like the DHT11, LM35, pulse sensor, and ECG sensor, the system collects vital health data, which is then transmitted via Wi-Fi to a cloud platform. The data is stored securely and analyzed for visualization on a user-friendly dashboard. Additionally, the system generates automated medical reports, personalized diet plans, and sends medication reminders, making it an efficient tool for remote health monitoring and telemedicine. This system aims to bridge the gap between patients and healthcare providers, offering an affordable, portable, and efficient solution for continuous health monitoring. Results demonstrate that the system can accurately measure and report vital health statistics, providing real-time insights that help healthcare providers monitor patients' health remotely and intervene when necessary. Keywords: ESP32, Health Monitoring, IoT, Thing Speak, DHT11, ECG, Pulse Sensor, SpO2, Real-Time Data, Cloud Integration, Telemedicine, Automated Reports, Smart Health System