Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)

Enhancing the Early Warning Score System Using Data Confidence




Julkaisun tekijätMaximilian Götzinger, Nima Taherinejad, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen

ToimittajaPaolo Perego, Giuseppe Andreoni, Giovanna Rizzo

Konferenssin vakiintunut nimiInternational Conference on Wireless Mobile Communication and Healthcare

Julkaisuvuosi2017

Kirjan nimi *Wireless Mobile Communication and Healthcare: 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings

Sarjan nimiLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Volyymi192

Aloitussivu91

Lopetussivun numero99

ISBN978-3-319-58876-6

eISBN978-3-319-58877-3

DOIhttp://dx.doi.org/10.1007/978-3-319-58877-3_12

Verkko-osoitehttps://link.springer.com/chapter/10.1007/978-3-319-58877-3_12


Tiivistelmä

Early Warning Score (EWS) systems are utilized in hospitals by health-care professionals to interpret vital signals of patients. These scores are used to measure and predict amelioration or deterioration of patients’ health status to intervene in an appropriate manner when needed. Based on an earlier work presenting an automated Internet-of-Things based EWS system, we propose an architecture to analyze and enhance data reliability and consistency. In particular, we present a hierarchical agent-based data confidence evaluation system to detect erroneous or irrelevant vital signal measurements. In our extensive experiments, we demonstrate how our system offers a more robust EWS monitoring system.


Last updated on 2021-24-06 at 11:35