MyHealthAvatar and CARRE: case studies of interactive visualisation for internet‐enabled sensor‐assisted health monitoring and risk analysis. Issue 5 (1st September 2016)

• Record Type: Journal Article
• Authors: Zhao, Youbing; Parvinzamir, Farzad; Deng, Zhikun; Wei, Hui; Zhao, Xia; Liu, Enjie; Dong, Feng; Clapworthy, Gordon; Lukoševičius, Arūnas; Marozas, Vaidotas; Kaldoudi, Eleni
• Is Part Of: IET networks. Volume 5:Issue 5(2016)
• Page Start: 114
• Page End: 121
• Publication Date: 2016-09-01
• Subjects: avatars -- data visualisation -- patient monitoring -- risk analysis -- Internet -- data mining -- human computer interaction -- data analysis -- diseases -- medical computing; MyHealthAvatar -- CARRE -- interactive visualisation -- Internet‐enabled sensor‐assisted health monitoring -- risk analysis -- wearable sensor technologies -- wearable health sensors -- data processing methods -- knowledge discovery -- mature visual paradigms -- data analysis -- wearable sensor‐assisted health analysis platforms -- European Commission -- lifestyle tracking -- cardiorenal diseases management -- parallel coordinates -- Sankey diagrams -- node‐link diagrams; Computer network architectures -- Periodicals; Computer network protocols -- Periodicals; Information networks -- Periodicals; Telecommunication systems -- Periodicals; 004.605
• DOI: 10.1049/iet-net.2015.0113
• Languages: English
• ISSNs: 2047-4954

Abstract

Abstract : With the progress of wearable sensor technologies, more wearable health sensors have been made available on the market, which enables not only people to monitor their health and lifestyle in a continuous way but also doctors to utilise them to make better diagnoses. Continuous measurement from a variety of wearable sensors implies that a huge amount of data needs to be collected, stored, processed and presented, which cannot be achieved by traditional data processing methods. Visualisation is designed to promote knowledge discovery and utilisation via mature visual paradigms with well‐designed user interactions and has become indispensable in data analysis. In this study the authors introduce the role of visualisation in wearable sensor‐assisted health analysis platforms by case studies of two projects funded by the European Commission: MyHealthAvatar and CARRE. The former focuses on health sensor data collection and lifestyle tracking while the latter aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The roles of visualisation components including timeline, parallel coordinates, map, node‐link diagrams, Sankey diagrams, etc. are introduced and discussed.