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Privacy by Design for Neuropsychological Studies Based on an mHealth App

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Biomedical Engineering Systems and Technologies (BIOSTEC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1400))

Abstract

mHealth applications provide a huge potential to integrate neuropsychological rehabilitation into the everyday life of patients with executive dysfunctions by supporting them in daily activities and achieving personal goals. In the context of intervention studies it is important to gain insight in the usage of these applications by patients as an additional measurement beside neuropsychological pre- and post-tests. On the other hand, measuring usage of mobile applications constitutes a privacy risk for users. In this article the neuropsychological intervention study is described and a concept for privacy-preserving metrics with a focus on data minimization is derived from research questions. These considerations are then incorporated in a thorough privacy by design and privacy by default design process for the mHealth app.

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Acknowledgements

This work was supported by the Ministry for Science and Culture of Lower Saxony as part of SecuRIn (VWZN3224).

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Authors and Affiliations

  1. Faculty of Computer Science, Ostfalia University of Applied Sciences, Salzdahlumerstraße 46/48, Wolfenbüttel, Germany

    Alexander Gabel, Michael Pleger & Ina Schiering

  2. Faculty of Social Work, Ostfalia University of Applied Sciences, Salzdahlumerstraße 46/48, Wolfenbüttel, Germany

    Funda Ertas & Sandra Verena Müller

Authors
  1. Alexander Gabel
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  2. Funda Ertas
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  3. Michael Pleger
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  4. Ina Schiering
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  5. Sandra Verena Müller
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Corresponding author

Correspondence to Alexander Gabel .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Xuesong Ye

  2. Fraunhofer Portugal Research Center for Assistive Information and Communication Solutions, Porto, Portugal

    Filipe Soares

  3. Nice Sophia Antipolis University, Nice Cedex 2, France

    Elisabetta De Maria

  4. Universidad Politécnica de Madrid, Madrid, Spain

    Pedro Gómez Vilda

  5. University of Milano-Bicocca, Milan, Italy

    Federico Cabitza

  6. Instituto de Telecomunicações, University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. Universidade Nova de Lisboa, Caparica, Portugal

    Hugo Gamboa

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Gabel, A., Ertas, F., Pleger, M., Schiering, I., Müller, S.V. (2021). Privacy by Design for Neuropsychological Studies Based on an mHealth App. In: Ye, X., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2020. Communications in Computer and Information Science, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-72379-8_22

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  • DOI: https://doi.org/10.1007/978-3-030-72379-8_22

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