Cloud-Based Remote Patient Monitoring System with Abnormality Detection and Alert Notification

The availability, accessibility, and affordability of good healthcare services to remote, rural, and developing parts of the world is a major challenge. To resolve this dynamically growing issue of global importance, there is a need to devise an integrated and intelligent solution for the delivery of health monitoring services along with abnormality detection and alert notification. In this work, a remote patient monitoring system (RPMS) has been presented. Internet of things (IoT) and integrated cloud computing technologies are used for the implementation. The system can continuously measure different physiological parameters with the appropriate degree of accuracy required by medical standards. A mobile application has been developed for Android devices, which acts as a gateway between RPMS and the Cloud. The developed mobile application offers visualization and storage of physiological parameters locally as well as in Cloud along with real-time data transmission for remote monitoring and further analysis. In case of an abnormal event and emergency, the system can generate an alert notification to the local user and remote supervisor. The RPMS has been implemented and validated on the state-of-the-art patient monitoring system. A series of tests have been carried out to validate the system's effectiveness and reliability for measuring different physiological parameters and its remote monitoring in real-time. In addition to this performance analysis of the cloud-based system for real-time data transmission has also been carried out.