Brain-Computer Interface Research

A State-of-the-Art Summary 5
1. Auflage 2017
ISBN: 978-3-319-57131-7
Verlag: Springer

Buch, Englisch, 136 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2292 g

Reihe: SpringerBriefs in Electrical and Computer Engineering

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

Zielgruppe

Research

Autoren/Hrsg.

Guger, Christoph

Allison, Brendan

Ushiba, Junichi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Naturwissenschaften Physik Angewandte Physik Medizinische Physik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction (C. Guger at al.).- An ECoG-Based BCI Based on Auditory Attention to Natural Speech (P. Brunner et al.).- Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness (D. Coyle et al.).- Towards Continuous Speech Recognition for BCI (C. Herff et al.).- Recovery of Brain Function by Neuroprostheses: A Challenge for Neuroscience and Technology (R. Hogri et al.).- Estimation of Intracranial P300 Speller Sites with Magnetoencephalography (MEG) - perspectives for Non-invasive Navigation of Subdural Grid Implantation (M. Korostenskaja et al.).- Brain-Machine Interface Development for Finger Movement Control (T.M. Lal et al.).- Brain-Computer Interface Controlling Cyborg: A Functional Brain-to-Brain Interface between Human and Cockroach (G. Li et al.).- A Brain-Computer-Interface to Combat Musculoskeletal Pain (N. Mrachacz-Kersting et al.).- BCI-based Facilitation of Cortical Activity Associated to Gait Onset after Single Event Multi-Level Surgery in Cerebral Palsy (J.I. Serrano et al.).- Conclusion (C. Guger et al.).

Über Autor(innen)

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).