The Open UniversitySkip to content
 

Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment

Zhao, Youbing; Parvinzamir, Farzad; Wilson, Stephen; Wei, Hui; Deng, Zhikun; Portokallidis, Nick; Third, Allan; Drosatos, George; Liu, Enjie; Dong, Feng; Marozas, Vaidotas; Lukoševičius, Arūnas; Kaldoudi, Eleni and Clapworthy, Gordon (2017). Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment. Journal of Visualization, 20(2) pp. 405–413.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/s12650-016-0402-6
Google Scholar: Look up in Google Scholar

Abstract

Patient empowerment delivers health and social care services that enable people to gain more control of their healthcare needs. With the advancement of sensor technologies, it is increasingly possible to monitor people’s health with dedicated wearable sensors. The consistent measurements from a variety of wearable sensors imply that a huge amount of data may be exploited to monitor and predict people’s health using medically proven models. In the process of health data representation and analysis, visualisation can be employed to promote data analysis and knowledge discovery via mature visual paradigms and well-designed user interactions. In this paper, we introduce the role of visualisation for individualised health monitoring and risk management in the background of a European Commission funded project, which aims to provide self-management of cardiorenal diseases with the assistance of wearable sensors. The visualisation components of health monitoring, risk model exploration, and risk analysis are presented to achieve personalised health and risk monitoring and to promote people’s wellbeing. It allows the patients not only to view existing risks, but also to gain awareness of the right pathway to change their lifestyles in order to reduce potential health risks.

Item Type: Journal Item
Copyright Holders: 2016 The Visualization Society of Japan
ISSN: 1343-8875
Project Funding Details:
Funded Project NameProject IDFunding Body
CARREFP7-ICT-611140European Union FP7
Dr. InventorFP7-ICT-611383European Union FP7
Keywords: Patient empowerment; Visualisation; Wearable sensor; Health monitoring; Risk assessment 1
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 52926
Depositing User: Kay Dave
Date Deposited: 19 Jan 2018 15:05
Last Modified: 16 Sep 2019 18:56
URI: http://oro.open.ac.uk/id/eprint/52926
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU