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Brain-Computer Interface Research

A State-of-the-Art Summary 9

  • Book
  • © 2021

Overview

Editors:
  1. Christoph Guger

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

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    You can also search for this editor in PubMed   Google Scholar

  2. Brendan Z. Allison

    1. Department of Cognitive Science, University of California San Diego, San Diego, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Michael Tangermann

    1. Brain State Decoding Lab, University of Freiburg, Freiburg, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Summarizes the most innovative BCI projects
  • Elucidates the projects of the 2019 BCI Award nominees
  • Provides a worldwide overview of key BCI research

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Brain-Computer Interface Research: A State-of-the-Art Summary 9

    • Christoph Guger, Michael Tangermann, Brendan Z. Allison
    Pages 1-12

  3. BCI-Based Neurofeedback Training for Quitting Smoking

    • Junjie Bu, Xiaochu Zhang
    Pages 13-23

  4. Neurofeedback of Scalp Bi-Hemispheric EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex in the Targeted Hemisphere

    • Masaaki Hayashi, Nobuaki Mizuguchi, Shohei Tsuchimoto, Junichi Ushiba
    Pages 25-38

  5. Next Generation Microscale Wireless Implant System for High-Density, Multi-areal, Closed-Loop Brain Computer Interfaces

    • Farah Laiwalla, Vincent W. Leung, Jihun Lee, Patrick Mercier, Peter Asbeck, Ramesh Rao et al.
    Pages 39-51

  6. Interfacing Hearing Implants with the Brain: Closing the Loop with Intracochlear Brain Recordings

    • Ben Somers, Damien Lesenfants, Jonas Vanthornhout, Lien Decruy, Eline Verschueren, Tom Francart
    Pages 53-63

  7. Final Results of Multi-center Randomized Controlled Trials of BCI-Controlled Hand Exoskeleton Complex Assisting Post-stroke Motor Function Recovery

    • Alexander Frolov, Elena Biryukova, Pavel Bobrov, Dmirty Bobrov, Alexander Lekin, Olesya Mokienko et al.
    Pages 65-77

  8. Hearables: In-Ear Multimodal Brain Computer Interfacing

    • Metin C. Yarici, Harry J. Davies, Takashi Nakamura, Ian Williams, Danilo P. Mandic
    Pages 79-87

  9. Power Modulations of Gamma Band in Sensorimotor Cortex Correlate with Time-Derivative of Grasp Force in Human Subjects

    • Tianxiao Jiang, Priscella Asman, Giuseppe Pellizzer, Dhiego Bastos, Shreyas Bhavsar, Sudhakar Tummala et al.
    Pages 89-102

  10. Developing a Closed-Loop Brain-Computer Interface for Treatment of Neuropsychiatric Disorders Using Electrical Brain Stimulation

    • Yuxiao Yang, Omid G. Sani, Morgan B. Lee, Heather E. Dawes, Edward F. Chang, Maryam M. Shanechi
    Pages 103-106

  11. Decoding Speech from Dorsal Motor Cortex

    • Sergey Stavisky
    Pages 107-113

  12. Training with BCI-Based Neurofeedback for Quitting Smoking

    • Junjie Bu
    Pages 115-119

  13. Closed-Loop BCI for the Treatment of Neuropsychiatric Disorders

    • Omid G. Sani, Yuxiao Yang, Maryam M. Shanechi
    Pages 121-125

  14. The StentrodeTM Neural Interface System

    • Nicholas Opie
    Pages 127-132

  15. Towards Brain-Machine Interface-Based Rehabilitation for Patients with Chronic Complete Paraplegia

    • Solaiman Shokur
    Pages 133-141

  16. Recent Advances in Brain-Computer Interface Research: A Summary of the 2019 BCI Award and Online BCI Research Activities

    • Christoph Guger, Michael Tangermann, Brendan Z. Allison
    Pages 143-150
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Keywords

About this book

The Annual BCI Research Awards are international prizes that recognize the top new projects in brain–computer interface (BCI) research. This book contains concise descriptions of projects nominated for the 2019 BCI Research Award and interviews with nominees. Each article is authored by the researchers who developed the project, and articles have been updated with new progress achieved since their nomination. These chapters are complemented by an introduction by the editors together with a concluding chapter that reviews the annual Awards Ceremony, announces the winners, and ends with a brief discussion.

One of the prominent trends in recent years has been the development of BCIs for new patient groups. Many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future. This year's book includes chapters based on interviews with BCI experts who were nominated for an award, including this year's first, second, and third place winners. These interview chapters are generally less technical than project descriptions, and provide individual perspectives from people actively working on new methods and systems.

Editors and Affiliations

  • g.tec medical engineering GmbH, Schiedlberg, Austria

    Christoph Guger

  • Department of Cognitive Science, University of California San Diego, San Diego, USA

    Brendan Z. Allison

  • Brain State Decoding Lab, University of Freiburg, Freiburg, Germany

    Michael Tangermann

About the editors

Christoph Guger leads several international research projects in the invasive and non-invasive BCI domains.

Brendan Z. Allison is an expert in non-invasive BCI applications and has worked with BCIs for more than 20 years.

Michael Tangermann is the Head of the Brain State Decoding Lab at the University of Freiburg, Germany. He focuses on machine learning problems that emerge when decoding mental states from neuronal signals.


 

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