Brain-computer interface research : a state-of-the-art summary. 9 /

Brain-computer interface research : a state-of-the-art summary. 9 /

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Bibliographic Details
Imprint:Cham : Springer, 2021.
Description:1 online resource (148 p.).
Language:English
Series:SpringerBriefs in electrical and computer engineering
SpringerBriefs in electrical and computer engineering.
Subject:
Brain-computer interfaces.
Human-computer interaction.
Brain-computer interfaces.
Human-computer interaction.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12611923
Hidden Bibliographic Details
Other authors / contributors:Guger, Christoph.
Allison, Brendan.
Tangermann, Michael.
ISBN:9783030604608
3030604608
9783030604592
3030604594
Notes:Description based upon print version of record.
2 System Architecture.
Summary: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.
Other form:Print version: Guger, Christoph Brain-Computer Interface Research Cham : Springer International Publishing AG,c2021 9783030604592
Standard no.:10.1007/978-3-030-60460-8
Table of Contents:
  • Intro
  • Contents
  • Brain-Computer Interface Research: A State-of-the-Art Summary 9
  • 1 What Is a BCI?
  • 2 The Annual BCI Research Award
  • 3 The BCI Research Award Book Series
  • 4 Projects Nominated for the BCI Award 2019
  • 4.1 BCI-Based Neurofeedback Training for Quitting Smoking
  • 4.2 Decoding Speech from Intracortical Multielectrode Arrays in Dorsal Motor Cortex
  • 4.3 Neurofeedback of Scalp EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex
  • 4.4 Developing a Closed-Loop Brain-Computer Interface for Treatment of Neuropsychiatric Disorders Using Electrical Brain Stimulation
  • 4.5 StentrodeTM Neural Interface System: Minimally-Invasive Brain-Computer Interface Designed for Everyday Use
  • 4.6 Interfacing Hearing Implants with the Brain: Closing the Loop with Intracochlear Brain Recordings
  • 4.7 A Brain-Spine Interface Alleviating Gait Deficits in a Primate Model of Parkinson's Disease
  • 4.8 Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
  • 4.9 The Walk Again Neurorehabilitation Protocol: A BMI-Based Clinical Application to Induce Partial Neurological Recovery in Spinal Cord Injury Patients
  • 4.10 Hearables: In-Ear Multimodal Brain Computer Interfacing
  • 4.11 Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate with Time Derivative of Force During Sustained Hand Grasp
  • 4.12 Next-Generation Microscale Wireless Implant System for High-Density, Multi-areal Closed-Loop Brain Computer Interfaces
  • 5 Summary
  • References
  • BCI-Based Neurofeedback Training for Quitting Smoking
  • 1 Introduction
  • 2 Cognition-Guided Neurofeedback
  • 3 Adaptive Closed-Loop Design
  • 4 Experimental Procedure and Participants
  • 5 Cognition-Guided Neurofeedback Effects on Nicotine Addiction
  • 6 Conclusion
  • References
  • Neurofeedback of Scalp Bi-Hemispheric EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex in the Targeted Hemisphere
  • 1 Introduction
  • 2 Spatially Bivariate EEG-Based Neurofeedback
  • 2.1 Evaluation Block
  • 2.2 Training Block
  • 3 BCI Performance
  • 4 Effects of EEG-Based Neurofeedback During Shoulder MI
  • 5 Comparison of SMR-ERDs During Shoulder MI and Hand MI
  • 6 Discussion
  • 6.1 The Lateralization of Sensorimotor Cortical Activity to the Contralateral Hemisphere
  • 6.2 The Lateralization of Sensorimotor Cortical Activity to the Ipsilateral Hemisphere
  • 7 Conclusion
  • References
  • Next Generation Microscale Wireless Implant System for High-Density, Multi-areal, Closed-Loop Brain Computer Interfaces
  • 1 Introduction

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