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

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2016, Vol 2, Issue 8

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.

Authors and Affiliations

Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen

Keywords

Related Articles

Analysis of fibre-loop optical buffers with a void-avoiding schedule

In optical packet/burst switching, fibre-loop optical buffers provide a compact and effective means of contention resolution. In case of fixed packet length, the involved loop length is typically chosen matched (equal to...

Dedicated networks for IoT: PHY / MAC state of the art and challenges

This paper focuses on the the emerging transmission technologies dedicated to IoT networks.We first analyze the classical cellular network technologies when taking into account the IoT requirements, and point out the nee...

The DiscoDNC v2 – A Comprehensive Tool for Deterministic Network Calculus

In this paper, we present the Disco Deterministic Network Calculator v2 – our continuation in the effort to provide open-source tool support for worst-case performance analysis. The major achievement of this release is t...

Authorization-based Approach for Customized Automated Resource Provisioning Services

Combining the concept of software control with existing legacy network technology promotes new networking services with low capital expenditure. Currently, many testbeds and academic operators provide bandwidth on demand...

The M/G/1 queueing model with preemptive random priorities

For the M/G/1 model, we look into a preemptive priority scheme in which the priority level is decided by a lottery. Such a scheme has no effect on the mean waiting time in the non-preemptive case (in comparison with the...

Download PDF file
  • EP ID EP46489
  • DOI http://dx.doi.org/10.4108/eai.14-10-2015.2261616
  • Views 327
  • Downloads 0

How To Cite

Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen (2016). Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score. EAI Endorsed Transactions on Internet of Things, 2(8), -. https://www.europub.co.uk/articles/-A-46489