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

Authors

  • Arman Anzanpour University of Turku
  • Amir-Mohammad Rahmani University of Turku
  • Pasi Liljeberg University of Turku
  • Hannu Tenhunen University of Turku

DOI:

https://doi.org/10.4108/eai.14-10-2015.2261616

Keywords:

early warning score, internet of things, wearable electronics, wireless sensor network, body area network, remote patient monitoring

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.

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Published

22-12-2015

How to Cite

1.
Anzanpour A, Rahmani A-M, Liljeberg P, Tenhunen H. Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score. EAI Endorsed Trans IoT [Internet]. 2015 Dec. 22 [cited 2025 Nov. 4];2(8):e3. Available from: https://publications.eai.eu/index.php/IoT/article/view/697