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Link to original content: https://doi.org/10.1007/978-3-642-32609-7_11
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Scalable Integration of Multiple Health Sensor Data for Observing Medical Patterns

  • Conference paper
Cooperative Design, Visualization, and Engineering (CDVE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7467))

Abstract

With an aging global population, Ambient Assisted Living (aal) attempts to improve life expectancy and quality of life through the remote monitoring of various health signals using personal and home-based sensors. Possible medical conditions can be early ascertained by observable patterns over the patients’ health data. However, aggregating multiple raw signals and matching against medical protocols can be computational and bandwidth intensive. Moreover, adding new protocols requires non-trivial expertise to define necessary rules. This paper describes a lightweight, scalable, and composable mechanism that captures, processes and infers possible health problems from raw data obtained from multiple sensors.

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References

  1. Boulos, M., Rocha, A., Martins, A., Vicente, M., Bolz, A., Feld, R., Tchoudovski, I., Braecklein, M., Nelson, J., Laighin, G.O., Sdogati, C., Cesaroni, F., Antomarini, M., Jobes, A., Kinirons, M.: CAALYX: a new generation of location-based services in healthcare. International Journal of Health Geographics 6(1), 9 (2007)

    Article  Google Scholar 

  2. Hughes, J.: Why Functional Programming Matters. Computer Journal 32(2), 98–107 (1989)

    Article  Google Scholar 

  3. Kamel Boulos, M.N., Lou, R.C., Anastasiou, A., Nugent, C.D., Alexandersson, J., Zimmermann, G., Cortes, U., Casas, R.: Connectivity for healthcare and well-being management: Examples from six european projects. International Journal of Environmental Research and Public Health 6(7), 1947–1971 (2009)

    Article  Google Scholar 

  4. Lutz, W., Sanderson, W., Scherbov, S.: The coming acceleration of global population ageing. Nature 451(7179), 716–719 (2008)

    Article  Google Scholar 

  5. Odersky, M., Altherr, P., Cremet, V., Dragos, I., Dubochet, G., Emir, B., McDirmid, S., Micheloud, S., Mihaylov, N., Schinz, M., et al.: An overview of the scala programming language, 2nd edn. (2006)

    Google Scholar 

  6. Prescher, S., Bourke, A.K., Koehler, F., Martins, A., Ferreira, H.S., Sousa, T.B., Castro, R.N., Santos, A., Torrent, M., Gomis, S., Hospedales, M., Nelson, J.: A ubiquitous ambient assisted living solution to promote safer independent living in older adults suffering from co-morbidity. In: Proceedings of the 34th Annual International IEEE EMBS Conference, San Diego, California, USA (2012)

    Google Scholar 

  7. Yorgey, B.: Typeclassopedia. The Monad. Reader (13), 17–68 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Informatics Engineering, Faculty of Engineering, University of Porto, Portugal

    Hugo Sereno Ferreira & Tiago Boldt Sousa

  2. Department of Informatics Engineering, ISEP, Portugal

    Angelo Martins

  3. INESC TEC (Formerly INESC Porto), Portugal

    Hugo Sereno Ferreira, Tiago Boldt Sousa & Angelo Martins

Authors
  1. Hugo Sereno Ferreira
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  2. Tiago Boldt Sousa
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  3. Angelo Martins
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Editor information

Editors and Affiliations

  1. Mathematics and Computer Science Department, University of Balearic Islands, 07122, Palma de Mallorca, Spain

    Yuhua Luo

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© 2012 Springer-Verlag Berlin Heidelberg

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Ferreira, H.S., Sousa, T.B., Martins, A. (2012). Scalable Integration of Multiple Health Sensor Data for Observing Medical Patterns. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2012. Lecture Notes in Computer Science, vol 7467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32609-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-32609-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32608-0

  • Online ISBN: 978-3-642-32609-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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