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Ear-EEG: Continuous Brain Monitoring

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Brain-Computer Interface Research

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

Abstract

We present a radically new way of recording EEG comfortably and unobtrusively over long time-periods in natural environments. This break-through has been achieved using electrodes embedded on a customized earpiece as typically used in hearing aids (Ear-EEG). We illustrate the potential of Ear-EEG as an enabling technology for a number of uses beyond traditional BCI, which are currently limited by the inconvenience of standard EEG recording methods. We show that Ear-EEG enables both conventional BCI and next-generation applications such as the evaluation of hearing capability and the monitoring of fatigue and drowsiness.

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Notes

  1. 1.

    The in-ear setup used to obtain the results shown in Fig. 5 was electrode ELB referenced to ELH (Kidmose et al. 2013).

  2. 2.

    The SNR of the ASSR is defined as the power spectrum ratio of the response peak to the background EEG [see also Fig. 3 (lower, left)].

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Author information

Authors and Affiliations

  1. Imperial College London, London, UK

    David Looney, Mary J. Morrell & Danilo P. Mandic

  2. Aarhus University, Aarhus, Denmark

    Preben Kidmose

  3. Sleep Unit, Royal Brompton Hospital, London, UK

    Mary J. Morrell

Authors
  1. David Looney
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  2. Preben Kidmose
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  3. Mary J. Morrell
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  4. Danilo P. Mandic
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Corresponding author

Correspondence to Danilo P. Mandic .

Editor information

Editors and Affiliations

  1. Schiedlberg, Austria

    Christoph Guger

  2. Albany, New York, USA

    Theresa Vaughan

  3. Cognitive Science Dept., UC San Diego, La Jolla, California, USA

    Brendan Allison

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© 2014 The Author(s)

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Looney, D., Kidmose, P., Morrell, M.J., Mandic, D.P. (2014). Ear-EEG: Continuous Brain Monitoring. In: Guger, C., Vaughan, T., Allison, B. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-09979-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-09979-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09978-1

  • Online ISBN: 978-3-319-09979-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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