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The StentrodeTM Neural Interface System

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Brain-Computer Interface Research

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

Abstract

Dr. Opie and his team developed the StentrodeTM Neural Interface System, which records brain activity from inside the brain without requiring open-brain surgery. This approach could have many medical applications. Although it has been validated successfully so far, clinical trials, device approval, and more research will be necessary before widespread application in people. This chapter presents an interview with Dr. Opie about the project that his team submitted to the BCI Award 2019, which was nominated for an award. Readers can learn about their team’s work developing the StentrodeTM, how it works, the research they conducted within the project submission, new work, and future directions.

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Notes

  1. 1.

    https://www.synchronmed.com/research/.

References

  • T. Oxley, N. Opie et al. Nat. Biotechnol (2016)

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  • N.L. Opie, S.E. John et al. J. Neural Eng (2016)

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  • N.L. Opie, S.E. John et al. Nat. Biomed. Eng (2018)

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  • N.L. Opie, N.R. van der Nagel et al. IEEE Trans. Biomed. Eng (2017)

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  • T.J. Oxley, P.E. Yoo et al. J. NeuroInterventional Surg (2020)

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Author information

Authors and Affiliations

  1. Synchron Inc., Melbourne, VIC, Australia

    Nicholas Opie

  2. Vascular Bionics Laboratory, Department of Medicine, Melbourne, VIC, Australia

    Nicholas Opie

Authors
  1. Nicholas Opie
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Corresponding author

Correspondence to Nicholas Opie .

Editor information

Editors and Affiliations

  1. g.tec medical engineering GmbH, Schiedlberg, Oberösterreich, Austria

    Christoph Guger

  2. Department of Cognitive Science, University of California San Diego, San Diego, CA, USA

    Brendan Z. Allison

  3. Brain State Decoding Lab, University of Freiburg, Freiburg, Baden-Württemberg, Germany

    Michael Tangermann

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Opie, N. (2021). The StentrodeTM Neural Interface System. In: Guger, C., Allison, B.Z., Tangermann, M. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-60460-8_13

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  • DOI: https://doi.org/10.1007/978-3-030-60460-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60459-2

  • Online ISBN: 978-3-030-60460-8

  • eBook Packages: EngineeringEngineering (R0)

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