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

2.50
Hdl Handle:
http://hdl.handle.net/10547/623064
Title:
Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment
Authors:
Zhao, Youbing ( 0000-0003-3677-6583 ) ; Parvinzamir, Farzad; Portokallidis, Nick; Third, Allan; Drosatos, George; Wei, Hui; Deng, Zhikun ( 0000-0002-3659-757X ) ; Liu, Enjie ( 0000-0003-4617-595X ) ; Dong, Feng ( 0000-0003-4122-8012 ) ; Wilson, Stephen; Marozas, Vaidotas; Lukoševičius, Arūnas; Kaldoudi, Eleni; Clapworthy, Gordon J.
Abstract:
Patient empowerment delivers health and social care services to enable people to take more control of their health care needs. With the advance 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 implies that a huge amount of data may be exploited to monitor and predict people's health with proven models. In the process of health data representation and analysis, visualization can be used to promote data analysis and knowledge discovery via mature visual paradigms with well-designed user interactions. In this paper we introduce the role of visualisation for individualized health monitoring and risk management in the background of the European Commission funded project which aims to provide self-management of cardiorenal diseases with the assistance of wearable sensors. The visualisation components of timeline for health monitoring and of node-link diagrams, chord diagrams and Sankey diagrams for risk analysis are presented to achieve ubiquitous and lifelong health and risk monitoring to promote people's wellbeing. It allows the patients not only to view existing risks but also to know the ways to change their lifestyles to reduce the risks. In addition it also allows people to selectively view and explore the risk paths in interest.
Affiliation:
University of Bedfordshire; Democritus University of Thrace Dragana; Open University; Kaunas University of Technology
Citation:
Zhao YB, Parvinzamir F, Portokallidis N, Third A, Drosatos G, Wei H, Deng ZK, Liu E, Dong F, Wilson S, Marozas V, Lukoševičius A, Kaldoudi E, and Clapworthy G (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.
Publisher:
Springer
Journal:
Journal of Visualization
Issue Date:
27-Oct-2016
URI:
http://hdl.handle.net/10547/623064
DOI:
10.1007/s12650-016-0402-6
Additional Links:
https://link.springer.com/article/10.1007/s12650-016-0402-6
Type:
Article
Language:
en
ISSN:
1343-8875
Sponsors:
EU FP7 CARRE project (FP7-ICT-611140)
Appears in Collections:
Computing

Full metadata record

DC FieldValue Language
dc.contributor.authorZhao, Youbingen
dc.contributor.authorParvinzamir, Farzaden
dc.contributor.authorPortokallidis, Nicken
dc.contributor.authorThird, Allanen
dc.contributor.authorDrosatos, Georgeen
dc.contributor.authorWei, Huien
dc.contributor.authorDeng, Zhikunen
dc.contributor.authorLiu, Enjieen
dc.contributor.authorDong, Fengen
dc.contributor.authorWilson, Stephenen
dc.contributor.authorMarozas, Vaidotasen
dc.contributor.authorLukoševičius, Arūnasen
dc.contributor.authorKaldoudi, Elenien
dc.contributor.authorClapworthy, Gordon J.en
dc.date.accessioned2019-01-08T13:24:31Z-
dc.date.available2019-01-08T13:24:31Z-
dc.date.issued2016-10-27-
dc.identifier.citationZhao YB, Parvinzamir F, Portokallidis N, Third A, Drosatos G, Wei H, Deng ZK, Liu E, Dong F, Wilson S, Marozas V, Lukoševičius A, Kaldoudi E, and Clapworthy G (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.en
dc.identifier.issn1343-8875-
dc.identifier.doi10.1007/s12650-016-0402-6-
dc.identifier.urihttp://hdl.handle.net/10547/623064-
dc.description.abstractPatient empowerment delivers health and social care services to enable people to take more control of their health care needs. With the advance 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 implies that a huge amount of data may be exploited to monitor and predict people's health with proven models. In the process of health data representation and analysis, visualization can be used to promote data analysis and knowledge discovery via mature visual paradigms with well-designed user interactions. In this paper we introduce the role of visualisation for individualized health monitoring and risk management in the background of the European Commission funded project which aims to provide self-management of cardiorenal diseases with the assistance of wearable sensors. The visualisation components of timeline for health monitoring and of node-link diagrams, chord diagrams and Sankey diagrams for risk analysis are presented to achieve ubiquitous and lifelong health and risk monitoring to promote people's wellbeing. It allows the patients not only to view existing risks but also to know the ways to change their lifestyles to reduce the risks. In addition it also allows people to selectively view and explore the risk paths in interest.en
dc.description.sponsorshipEU FP7 CARRE project (FP7-ICT-611140)en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttps://link.springer.com/article/10.1007/s12650-016-0402-6en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectvisualisationen
dc.subjectpatient empowermenten
dc.subjectwearable sensorsen
dc.subjecthealth monitoringen
dc.subjectrisk managementen
dc.subjectB800 Medical Technologyen
dc.titleIntegrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowermenten
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentDemocritus University of Thrace Draganaen
dc.contributor.departmentOpen Universityen
dc.contributor.departmentKaunas University of Technologyen
dc.identifier.journalJournal of Visualizationen
dc.date.updated2019-01-08T13:12:16Z-
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