Artificial Intelligence-based Web-Centric E-health Monitoring System

The tremendous growth in Information Communication Technologies (ICT) and the Internet of Things (IoT) propose new application domains like remote patient monitoring. Patient monitoring is mostly done through hospital systems, Remote patient monitoring systems will reduce cost and save travel time also it will increase the efficiency of the healthcare system. The main objective of our system is to develop an artificial intelligence-based e-Health monitoring system allowing the close monitoring of patient parameters without any location boundary. This system gives a multidimensional diagnosis system. It integrates web, mobile, and display technology. In the proposed system temperature, pulse rate, blood pressure, and sugar level are captured and stored in a database. The process is carried out by Raspberry Pi (ARM 11) integrated with sensors. A web-based application interface is created for real-time communication. Internet of Things enlarges the system with data transfer. Here fingerprint recognition system is used to get all previous records of a patient's health. We are providing an interface for live demonstration and suggestion in a dual communicative way.