Smart Health Monitoring System Using IoT Sensors in Cloud Environment

This project will propose an extensive architecture of an IoT-based cloud health monitoring system that utilizes IoT sensors. A few sensors are interfaced with the system, includinga DHT11 for humidity and temperature measurement, an HBR(heart beat rate) sensor, and a SpO2 sensor for oxygen saturation monitoring, using NodeMCU as the primarymicrocontroller. These sensors continue collecting data, through Wi-Fi is uploaded into the cloud and analyses as well as saved on the ThingSpeak platform. Among its components is the EDA sensor, which could measure the heart rate of the user and tell so much about emotional and stress levels. With cloud computing, medical practitioners can go through analysing, visualizing and remotely monitoring data pertaining to patients efficiently. In case the systems find any abnormal reading, then the alert systems in the framework will immediately notify both the patient and the healthcare provider. Such a system is cost-efficient and scalable for continuous health monitoring through the integration of IoT with cloud computing. The patients suffering from chronic diseases find it very useful. The proposed framework concerns patient care, trying to improve the ability to perform health care interventions, accuracy in data collection, and ability to utilize real-time analytics and machine learning models for individualized treatment regimens.