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

DOIhttps://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.




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