Design and Implementation of IoT Health Monitoring System

This paper details the design and implementation of an IoT-based health monitoring system for emergency medical services. The system utilizes Raspberry Pi and various sensors to collect, analyze, and integrate patient health records remotely, aiming to improve telemedicine efficiency and reduce healthcare costs. The architecture includes sensor, network, and internet layers, with data stored and managed using big data and cloud storage technologies. The hardware design incorporates a Raspberry Pi for data processing, and the software utilizes Rasbian OS, Python for coding, MySQL for database storage, PHP for the user interface, and MobaXterm for remote access. The system collects patient data such as temperature, heart rate, and blood pressure, which are then monitored through a secure web interface, allowing for continuous data updates in the cloud. The results demonstrate the collection of data using the X-server and the secure online monitoring of patient health details, emphasizing the system's capability to provide real-time health monitoring and improve the efficiency of emergency medical services.