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Brain-Computer Interface Research

A State-of-the-Art Summary 5

  • Book
  • © 2017

Overview

Editors:
  1. Christoph Guger

    1. g.tec Guger Technologies OG , 4521 Schiedlberg, Austria

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    You can also search for this editor in PubMed   Google Scholar

  2. Brendan Allison

    1. g.tec Guger Technologies OG, 4521 Schiedlberg, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Junichi Ushiba

    1. Biosciences and Informatics, Keio University Biosciences and Informatics, 223-8522 Yokohama, Kazagawa, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Summarizes prize-winning BCI innovations
  • Extends the categories of disabilities and patient groups that can benefit from BCI technologies.
  • Includes both cutting edge science and important medical advances
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-vi
    Download chapter PDF

  2. Brain-Computer Interface Research: A State-of-the-Art Summary 5

    • Christoph Guger, Brendan Allison, Junichi Ushiba
    Pages 1-6

  3. An ECoG-Based BCI Based on Auditory Attention to Natural Speech

    • Peter Brunner, Karen Dijkstra, William G. Coon, Jürgen Mellinger, Anthony L. Ritaccio, Gerwin Schalk
    Pages 7-19

  4. Towards Continuous Speech Recognition for BCI

    • Christian Herff, Adriana de Pesters, Dominic Heger, Peter Brunner, Gerwin Schalk, Tanja Schultz
    Pages 21-29

  5. Brain-Machine Interface Development for Finger Movement Control

    • Tessy M. Lal, Guy Hotson, Matthew S. Fifer, David P. McMullen, Matthew S. Johannes, Kapil D. Katyal et al.
    Pages 31-49

  6. Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness

    • Damien Coyle, Jacqueline Stow, Karl McCreadie, Nadia Sciacca, Jacinta McElligott, Áine Carroll
    Pages 51-69

  7. Brain-Computer Interface Controlling Cyborg: A Functional Brain-to-Brain Interface Between Human and Cockroach

    • Guangye Li, Dingguo Zhang
    Pages 71-79

  8. Recovery of Brain Function by Neuroprostheses: A Challenge for Neuroscience and Technology

    • Roni Hogri, Simeon A. Bamford, Paolo Del Giudice, Matti Mintz
    Pages 81-97

  9. BCI-Based Facilitation of Cortical Activity Associated to Gait Onset After Single Event Multi-level Surgery in Cerebral Palsy

    • J. Ignacio Serrano, M. D. del Castillo, C. Bayón, O. Ramírez, S. Lerma Lara, I. Martínez-Caballero et al.
    Pages 99-110

  10. Estimation of Intracranial P300 Speller Sites with Magnetoencephalography (MEG)—Perspectives for Non-invasive Navigation of Subdural Grid Implantation

    • M. Korostenskaja, C. Kapeller, P. C. Chen, R. Prueckl, R. Ortner, K. H. Lee et al.
    Pages 111-121

  11. A Brain-Computer-Interface to Combat Musculoskeletal Pain

    • N. Mrachacz-Kersting, L. Yao, S. Gervasio, N. Jiang, T. S. Palsson, T. G. Nielsen et al.
    Pages 123-130

  12. Recent Advances in Brain-Computer Interface Research—A Summary of the BCI Award 2015 and BCI Research Trends

    • Christoph Guger, Brendan Allison, Junichi Ushiba
    Pages 131-136
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Keywords

About this book

This book describes the prize-winning brain-computer-interface (BCI) projects honored in the community's most prestigious annual award. BCIs enable people to communicate and control their limbs and/or environment using thought processes alone. Research in this field continues to develop and expand rapidly, with many new ideas, research groups, and improved technologies having emerged in recent years. The chapters in this volume feature the newest developments from many of the best labs worldwide. They present both non-invasive systems (based on the EEG) and intracortical methods (based on spikes or ECoG), and numerous innovative applications that will benefit new user groups

Editors and Affiliations

  • g.tec Guger Technologies OG , 4521 Schiedlberg, Austria

    Christoph Guger

  • g.tec Guger Technologies OG, 4521 Schiedlberg, Austria

    Brendan Allison

  • Biosciences and Informatics, Keio University Biosciences and Informatics, 223-8522 Yokohama, Kazagawa, Japan

    Junichi Ushiba

About the editors

Dr. Christoph Guger studied Biomedical Engineering at the University of Technology Graz and Johns Hopkins University in Baltimore, USA. He then carried out research work at the Department of Medical Informatics (Prof. Pfurtscheller) at the University of Technology Graz and received his PhD in 1999. He co-founded G.TEC 1999, and has worked there ever since.

Dr. Brendan Allison studied Cognitive Science at the University of California in San Diego (Prof. Pineda) and received his PhD in 2003. He then worked as a postdoc or senior postdoc for several top experts, including Profs. Polich, Wolpaw, Pfurtscheller, and Neuper. He has been active in BCI research for about 20 years, with an h-index of 31.

Dr. Junichi Ushiba studied Rehabilitation Engineering and Neuroscience at the Keio University, Japan and the Center for Sensory-Motor Interaction, Aalborg University, Denmark. He received his PhD in 2004. He then had worked at the Keio University as a Research Associate, Assistant Professor, and now he is a principal investigator at the Laboratory for Rehabilitation Neuroscience. He has published more than 50 original articles. He served as a Conference Chair on Clinical Brain-Computer Interface 2015 in Tokyo (CBMI 2015).

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