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Towards an Auditory Attention BCI

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Abstract

People affected by severe neuro-degenerative diseases (e.g., late-stage amyotrophic lateral sclerosis (ALS) or locked-in syndrome) eventually lose all muscular control and are no longer able to gesture or speak. For this population, an auditory BCI is one of only a few remaining means of communication. All currently used auditory BCIs require a relatively artificial mapping between a stimulus and a communication output. This mapping is cumbersome to learn and use. Recent studies suggest that electrocorticographic (ECoG) signals in the gamma band (i.e., 70–170 Hz) can be used to infer the identity of auditory speech stimuli, effectively removing the need to learn such an artificial mapping. However, BCI systems that use this physiological mechanism for communication purposes have not yet been described. In this study, we explore this possibility by implementing a BCI2000-based real-time system that uses ECoG signals to identify the attended speaker.

Keywords

  • Amyotrophic Lateral Sclerosis
  • Superior Temporal Gyrus
  • Middle Temporal Gyrus
  • Speech Stimulus
  • Audio Stream

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-25190-5_4
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Acknowledgements

This work was supported by the NIH (EB006356 (GS), EB00856 (GS) and EB018783 (GS)), the US Army Research Office (W911NF-07-1-0415 (GS), W911NF-08-1-0216 (GS) and W911NF-14-1-0440 (GS)) and Fondazione Neurone.

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Correspondence to Gerwin Schalk .

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Brunner, P., Dijkstra, K., Coon, W.G., Mellinger, J., Ritaccio, A.L., Schalk, G. (2015). Towards an Auditory Attention BCI. In: Guger, C., Müller-Putz, G., Allison, B. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-25190-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-25190-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25188-2

  • Online ISBN: 978-3-319-25190-5

  • eBook Packages: Computer ScienceComputer Science (R0)