An IoT Cloud Based Health Monitoring System for Remote Area Using Node MCU: E Health Checker

This research work introduces a real-time health monitoring system using IOT sensors and cloud integration for human health monitoring. The system leverages the Node MCU micro controller for its Wi-Fi capabilities., interfacing with sensors like DHT11 (for temperature and humidity)., HBR (for heart rate)., and SpO2 (for oxygen saturation). These sensors continuously gather health-related data., which is transmitted to the Thing Speak cloud platform for storage and analysis. The hardware setup involves connecting the Node MCU to the sensors for accurate data collection., while the firmware is programmed to handle real-time data acquisition and cloud communication. ThingSpeak is configured to receive and store the data, organizing it into custom channels for further analysis. Basic data processing algorithms are applied to filter out noise and detect trends in the collected health metrics. The system enables real-time visualization of health data and employs machine learning models to offer personalized healthcare insights. This framework facilitates proactive healthcare interventions., enhancing patient care and supporting chronic condition management. With continuous monitoring and cloud-based analysis, it provides a foundation for personalized treatment plans, improving the overall healthcare experience and people lives in rural areas will benefit.