Research Article
Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score
@INPROCEEDINGS{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}, proceedings={5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={ACM}, proceedings_a={MOBIHEALTH}, 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
MOBIHEALTH
ICST
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.
