Health Monitoring System with Wearable IoT, Azure IoT Hub, Azure ML, Python & Azure Functions
This guide walks you through building a Health Monitoring System using wearable IoT devices , Azure IoT Hub , Azure ML , and Azure Functions . You'll learn how to collect vital signs such as heart rate, temperature, and oxygen levels from IoT devices, send the data to Azure IoT Hub, and leverage Azure ML to predict health risks like heart disease. This end-to-end solution ensures real-time monitoring and alerting for health trends, making it a powerful tool for healthcare and wellness applications. This Health Monitoring System Architecture diagram shows the flow of health data from wearable IoT devices to Azure IoT Hub, where it is processed using Azure Functions and analyzed with Azure Machine Learning to predict potential health risks. The components involved include: User provides health data via the Wearable IoT Device . The Health Data Collector sends this data (heart rate, temperature, oxygen levels) to Azure IoT Hub . Azure IoT Hub triggers Azure Functions to proces...