Where academic tradition
meets the exciting future

You are here: TUCS > PUBLICATIONS > Publication Search > Self-Aware Early Warning Score...

Self-Aware Early Warning Score System for IoT-Based Personalized Healthcare

Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, Self-Aware Early Warning Score System for IoT-Based Personalized Healthcare. In: Kostas Giokas, Laszlo Bokor, Frank Hopfgartner (Eds.), eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 181, 49–55, Springer, Cham, 2017.

http://dx.doi.org/10.1007/978-3-319-49655-9_8

Abstract:

Early Warning Score (EWS) system is specified to detect and predict patient deterioration in hospitals. This is achievable via monitoring patient’s vital signs continuously and is often manually done with paper and pen. However, because of the constraints in healthcare resources and the high hospital costs, the patient might not be hospitalized for the whole period of the treatments, which has lead to a demand for in-home or portable EWS systems. Such a personalized EWS system needs to monitor the patient at anytime and anywhere even when the patient is carrying out daily activities. In this paper, we propose a self-aware EWS system which is the reinforced version of the existing EWS systems by using the Internet of Things technologies and the self-awareness concept. Our self-aware approach provides (i) system adaptivity with respect to various situations and (ii) system personalization by paying attention to critical parameters. We evaluate the proposed EWS system using a full system demonstration.

Files:

Full publication in PDF-format

BibTeX entry:

@INPROCEEDINGS{inpAzAnRaLiTe17a,
  title = {Self-Aware Early Warning Score System for IoT-Based Personalized Healthcare},
  booktitle = {eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  author = {Azimi, Iman and Anzanpour, Arman and Rahmani, Amir M. and Liljeberg, Pasi and Tenhunen, Hannu},
  volume = {181},
  editor = {Giokas, Kostas and Bokor, Laszlo and Hopfgartner, Frank},
  publisher = {Springer, Cham},
  pages = {49–55},
  year = {2017},
  keywords = {Early warning score, Internet-of-Things, Self-awareness system, Personalized monitoring},
}

Belongs to TUCS Research Unit(s): Embedded Computer and Electronic Systems (ECES)

Edit publication