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Context Assessment during Blood Pressure Self-measurement Utilizing the Sensor Chair

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Ambient Intelligence (AmI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7040))

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Abstract

Self-measurement of blood pressure requires the patient to follow a range of best practice recommendations in order to be considered valid for diagnostic use. We evaluate the feasibility of using a sensor-equipped chair to classify patient position during blood pressure measurement. Results indicate that this is feasible with over 89 % confirmed classification results.

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Author information

Authors and Affiliations

  1. Department of Engineering, Aarhus University, Helsingforsgade 14, 8200, Aarhus N, Denmark

    Stefan Wagner & Thomas Skjødeberg Toftegaard

  2. Department of Computer Science, Aarhus University, Helsingforsgade 14, 8200, Aarhus N, Denmark

    Olav Wedege Bertelsen

Authors
  1. Stefan Wagner
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  2. Thomas Skjødeberg Toftegaard
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  3. Olav Wedege Bertelsen
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Editor information

Editors and Affiliations

  1. Delft University of Technology, Landbergstraat 15, 2628CE, Delft, The Netherlands

    David V. Keyson

  2. College of Information Studies, University of Maryland, College Park, 2117E Hornbake Hall, 20742-4345, Marylandm, USA

    Mary Lou Maher

  3. Smart Future Initiative, Konrad-Zuse-Str. 43, 60438, Frankfurt, Germany

    Norbert Streitz

  4. Keio University, Japan and National University of Singapore, Heng Miu Keng Terrace 02-01-01A, 119613, Singapore

    Adrian Cheok

  5. School of Computing and Mathematics, University of Ulster, Shore Road, BT37 0QB, Newtownabbey, Co. Antrim, UK

    Juan Carlos Augusto

  6. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  7. Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Gwenn Englebienne

  8. Ambient Intelligence Research Lab., Stanford University and Ghent University, 350 Serra Mall, David Packard #318, 94305-9515, Stanford, CA, USA

    Hamid Aghajan

  9. Informatics Institute, University of Amsterdam and Amsterdam University of Applied Sciences, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Ben J. A. Kröse

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© 2011 Springer-Verlag Berlin Heidelberg

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Wagner, S., Toftegaard, T.S., Bertelsen, O.W. (2011). Context Assessment during Blood Pressure Self-measurement Utilizing the Sensor Chair. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_40

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  • DOI: https://doi.org/10.1007/978-3-642-25167-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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