Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score
: Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
: Akram Alomainy, William Whittow, Yang Hao, Konstantina S. Nikita and Clive G. Parini
: International Conference on Wireless Mobile Communication and Healthcare
: 2015
: 5th EAI International Conference on Wireless Mobile Communication and Healthcare
: 978-1-63190-088-4
DOI: https://doi.org/10.4108/eai.14-10-2015.2261616
: http://eudl.eu/doi/10.4108/eai.14-10-2015.2261616
Early warning score (EWS) is an approach to detect the deterioration of a patient. It is based on a fact that there are several changes in the physiological parameters prior a clinical deterioration of a patient. Currently, EWS procedure is mostly used for in-hospital clinical cases and is performed in a manual paper-based fashion. In this paper, we propose an automated EWS health monitoring system to intelligently monitor vital signs and prevent health deterioration for in-home patients using Internet-of-Things (IoT) technologies. IoT enables our solution to provide a real-time 24/7 service for health professionals to remotely monitor in-home patients via Internet and receive notifications in case of emergency. We also demonstrate a proof-of-concept EWS system where continuous reading, transferring, recording, and processing of vital signs have been implemented.