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Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface

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Brain Informatics and Health (BIH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

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Abstract

Future applications for the detection of attention can be helped by the development and validation of single electrode brain computer interfaces that are small and user-friendly. The two objectives of this study were: to (1) understand the correlates of attention regulation as detected with the Myndplay Brainband XL and (2) compare these to existing neuroscientific literature. The Myndplay Brainband did succeed in highlighting the EEG frequency band Alpha as the main biomarker for sustained attention as measured with behavioral correlates. These results give an optimistic outlook to future applications that can detect mind wandering with single electrode brain computer interfaces.

C.N. van der Wal and M. Irrmischer—Shared first authorship: equal contributions.

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Author information

Authors and Affiliations

  1. Department Computer Science, Vrije Universiteit, Amsterdam, The Netherlands

    C. Natalie van der Wal

  2. Department Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam, The Netherlands

    Mona Irrmischer

Authors
  1. C. Natalie van der Wal
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  2. Mona Irrmischer
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Corresponding author

Correspondence to C. Natalie van der Wal .

Editor information

Editors and Affiliations

  1. Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  2. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  3. Imperial College London, London, United Kingdom

    Faisal Aldo

  4. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  5. Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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© 2015 Springer International Publishing Switzerland

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van der Wal, C.N., Irrmischer, M. (2015). Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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