Research Article
Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score
@ARTICLE{10.4108/eai.14-10-2015.2261616, author={Arman Anzanpour and Amir-Mohammad Rahmani and Pasi Liljeberg and Hannu Tenhunen}, title={Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score}, journal={EAI Endorsed Transactions on Internet of Things}, volume={2}, number={8}, publisher={ACM}, journal_a={IOT}, year={2015}, month={12}, keywords={early warning score, internet of things, wearable electronics, wireless sensor network, body area network, remote patient monitoring}, doi={10.4108/eai.14-10-2015.2261616} }- Arman Anzanpour
Amir-Mohammad Rahmani
Pasi Liljeberg
Hannu Tenhunen
Year: 2015
Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score
IOT
EAI
DOI: 10.4108/eai.14-10-2015.2261616
Abstract
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.
Copyright © 2015 A. Anzanpour et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
