IoT 16(8): e3

Research Article

Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score

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  • @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
Arman Anzanpour1,*, Amir-Mohammad Rahmani2, Pasi Liljeberg1, Hannu Tenhunen2
  • 1: University of Turku, Finland
  • 2: University of Turku, Finland & KTH Royal Institute of Technology, Sweden
*Contact email: armanz@utu.fi

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.

Keywords
early warning score, internet of things, wearable electronics, wireless sensor network, body area network, remote patient monitoring
Published
2015-12-22
Publisher
ACM
http://dx.doi.org/10.4108/eai.14-10-2015.2261616

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.