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    Visual analytics for health monitoring and risk management in CARRE

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    Authors
    Zhao, Youbing
    Parvinzamir, Farzad
    Wei, Hui
    Liu, Enjie
    Deng, Zhikun
    Dong, Feng
    Third, Allan
    Lukoševičius, Arūnas
    Marozas, Vaidotas
    Kaldoudi, Eleni
    Clapworthy, Gordon J.
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    Affiliation
    University of Bedfordshire
    University of Bedfordshire
    Kaunas University of Technology
    Democritus University of Thrace Dragana
    Issue Date
    2016-12-31
    Subjects
    wearable sensor
    CARRE
    visual analytics
    
    Metadata
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    Other Titles
    Edutainment 2016: E-Learning and Games
    Abstract
    With the rise of wearable sensor technologies, an increasing number of wearable health and medical sensors are available on the market, which enables not only people but also doctors to utilise them to monitor people’s health in such a consistent way that the sensors may become people’s lifetime companion. The consistent measurements from a variety of wearable sensors implies that a huge amount of data needs to be processed, which cannot be achieved by traditional processing methods. Visual analytics is designed to promote knowledge discovery and utilisation of big data via mature visual paradigms with well-designed user interactions and has become indispensable in big data analysis. In this paper we introduce the role of visual analytics for health monitoring and risk management in the European Commission funded project CARRE which aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The visual analytics components of timeline and parallel coordinates 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 health.
    Citation
    Zhao Y, Parvinzamir F, Wei H, Liu E, Deng Z, Dong F, Third A, Lukoševičius A, Marozas V, Kaldoudi E, Clapworthy G (2016) 'Visual analytics for health monitoring and risk management in CARRE', International Conference on Technologies for E-Learning and Digital Entertainment: E-Learning and Games 10th International Conference - Hangzhou, Springer Verlag.
    Publisher
    Springer Verlag
    URI
    http://hdl.handle.net/10547/624197
    DOI
    10.1007/978-3-319-40259-8_33
    Additional Links
    https://link.springer.com/chapter/10.1007%2F978-3-319-40259-8_33
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9783319402581
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-40259-8_33
    Scopus Count
    Collections
    Computing

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