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Visual Analytics for Health Monitoring and Risk Management in CARRE

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E-Learning and Games (Edutainment 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9654))

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.

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Acknowledgments

CARRE project is funded by the European Commission’s 7th Framework Programme – ICT under agreement FP7–ICT–611140. The related MyHealthAvatar project is funded by the European Commission’s 7th Framework Programme – ICT under agreement FP7–ICT–2011–9. We would like to thank the European Commission for the funding and thank the project officers and reviewers for their indispensable support for both of the projects.

Author information

Authors and Affiliations

  1. University of Bedfordshire, Luton, LU1 3JU, UK

    Youbing Zhao, Farzad Parvinzamir, Hui Wei, Enjie Liu, Zhikun Deng, Feng Dong & Gordon Clapworthy

  2. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Allan Third

  3. Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania

    Arūnas Lukoševičius & Vaidotas Marozas

  4. Physics of Medical Imaging and Telemedicine, School of Medicine, Democritus University of Thrace Dragana, Alexandroupoli, Greece

    Eleni Kaldoudi

Authors
  1. Youbing Zhao
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  2. Farzad Parvinzamir
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  3. Hui Wei
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  4. Enjie Liu
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  5. Zhikun Deng
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  6. Feng Dong
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  7. Allan Third
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  8. Arūnas Lukoševičius
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  9. Vaidotas Marozas
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  10. Eleni Kaldoudi
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  11. Gordon Clapworthy
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Corresponding author

Correspondence to Youbing Zhao .

Editor information

Editors and Affiliations

  1. Computer Science, John Moores University, Liverpool, United Kingdom

    Abdennour El Rhalibi

  2. Science and Technology, Bournemouth University, Bournemouth, United Kingdom

    Feng Tian

  3. Hangzhou Normal University, Hangzhou, Zhejiang, China

    Zhigeng Pan

  4. Computer Science and Technology, University of Bedfordshire, Luton, United Kingdom

    Baoquan Liu

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Zhao, Y. et al. (2016). Visual Analytics for Health Monitoring and Risk Management in CARRE. In: El Rhalibi, A., Tian, F., Pan, Z., Liu, B. (eds) E-Learning and Games. Edutainment 2016. Lecture Notes in Computer Science(), vol 9654. Springer, Cham. https://doi.org/10.1007/978-3-319-40259-8_33

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  • DOI: https://doi.org/10.1007/978-3-319-40259-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40258-1

  • Online ISBN: 978-3-319-40259-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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