کتابخانه

Features

• In-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the users intention
• Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments
• Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, etc.
• Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI
• Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs

Summary

This handbook is a valuable resource to anyone involved with improvement of peoples lives by replacing, restoring, supplementing and improving motor action, and understanding the neural bases of such functions. While there are several other resources available, there is no handbook such as this one. This handbook addresses the recent and rapid changes in the field of braincomputer interfaces (BCIs). Due to these changes interest in BCI has grown enormously, including interest from computer science researchers with a background in computational intelligence, human-computer interaction, and researchers in entertainment technology.

Table of Contents

Introduction: Evolution of Brain–Computer Interfaces

[Fabien Lotte, Chang S. Nam, and Anton Nijholt]

Part I Brain–Computer Interface Applications

Section A Brain–Computer Interfaces Introduction

Chapter 1 Brain–Computer Interface: An Emerging Interaction Technology

[Chang S. Nam, Inchul Choi, Amy Wadeson, and Mincheol Whang]

Chapter 2 Facilitating the Integration of Modern Neuroscience into Noninvasive BCIs

[Mark Wronkiewicz, Eric Larson, and Adrian K.C. Lee]

Chapter 3 Passive Brain–Computer Interfaces: A Perspective on Increased Interactivity

[Laurens R. Krol, Lena M. Andreessen, and Thorsten O. Zander]

Section B Therapeutic Applications

Chapter 4 Brain–Computer Interfaces for Motor Rehabilitation, Assessment

of Consciousness, and Communication

[Christoph Guger, Rossella Spataro, Jitka Annen, Rupert Ortner, Danut Irimia,

Brendan Allison, Vincenzo La Bella, Woosang Cho, Günter Edlinger,

and Steven Laureys]

Chapter 5 Therapeutic Applications of BCI Technologies

[Dennis J. McFarland]

Chapter 6 Neuroprosthetics: Past, Present, and Future

[Stuart Mason Dambrot]

Chapter 7 Design and Customization of SSVEP-Based BCI Applications Aimed

for Elderly People

[Piotr Stawicki, Felix Gembler, and Ivan Volosyak]

Section C Affective and Artistic Brain–Computer Interfaces

Chapter 8 Affective Brain–Computer Interfacing and Methods for Affective State

Detection

[Ian Daly]

Chapter 9 Toward Practical BCI Solutions for Entertainment and Art Performance

[Paruthi Pradhapan, Ulf Großekathöfer, Giuseppina Schiavone,

Bernard Grundlehner, and Vojkan Mihajlović]

Chapter 10 BCI for Music Making: Then, Now, and Next

[Duncan A.H. Williams and Eduardo R. Miranda]

Section D BCI Control of Entertainment and Multimedia

Chapter 11 BCI and Games: Playful, Experience-Oriented Learning by Vivid Feedback?

[Silvia E. Kober, Manuel Ninaus, Elisabeth V.C. Friedrich, and Reinhold Scherer]

Chapter 12 Brain–Computer Interfaces for Mediating Interaction in Virtual

and Augmented Reality

[Josef Faller, Neil Weiss, Nicholas Waytowich, and Paul Sajda]

Chapter 13 Brain–Computer Interfaces and Haptics: A Literature Review

[Jan B.F. van Erp]

Part II Signal Acquisition and Open Source Platform in BCI

Chapter 14 Utilizing Subdermal Electrodes as a Noninvasive Alternative

for Motor-Based BCIs

[Melissa M. Smith, Jared D. Olson, Felix Darvas, and Rajesh P.N. Rao]

Chapter 15 Validation of Neurotrophic Electrode Long-Term Recordings in Human Cortex

[Philip R. Kennedy, Dinal S. Andreasen, Jess Bartels, Princewill Ehirim,

Edward Joe Wright, Steven Seibert, and Andre Joel Cervantes]

Chapter 16 ECoG-Based BCIs

[Aysegul Gunduz and Gerwin Schalk]

Chapter 17 BCI Software

[Peter Brunner and Gerwin Schalk]

Part III Signal Processing, Feature Extraction,

and Classification in BCI

Chapter 18 Gentle Introduction to Signal Processing and Classification for Single-Trial

EEG Analysis

[Benjamin Blankertz]

Chapter 19 Riemannian Classification for SSVEP-Based BCI: Offline versus Online

Implementations

[Sylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthélemy,

and Florian Yger]

Chapter 20 The Fundamentals of Signal Processing for Evoked Potential BCIs:

A Guided Tutorial

[Garett D. Johnson and Dean J. Krusienski]

Chapter 21 Bayesian Learning for EEG Analysis

[Yu Zhang]

Chapter 22 Transfer Learning for BCIs

[Vinay Jayaram, Karl-Heinz Fiebig, Jan Peters, and Moritz Grosse-Wentrup]

Part IV Brain–Computer Interface Paradigms

Chapter 23 A Step-by-Step Tutorial for a Motor Imagery–Based BCI

[Hohyun Cho, Minkyu Ahn, Moonyoung Kwon, and Sung Chan Jun]

Chapter 24 Eye Gaze Collaboration with Brain–Computer Interfaces: Using Both

Modalities for More Robust Interaction

[Gaye Lightbody, Chris P. Brennan, Paul J. McCullagh, and Leo Galway]

Chapter 25 Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based

Approach

[Boyla O. Mainsah, Leslie M. Collins, and Chandra S. Throckmorton]

Chapter 26 Issues and Challenges in Designing P300 and SSVEP Paradigms

[Ali Haider and Reza Fazel-Rezai]

Chapter 27 Hybrid Brain–Computer Interfaces and Their Applications

[Jiahui Pan and Yuanqing Li]

Chapter 28 Augmenting Attention with Brain–Computer Interfaces

[Mehdi Ordikhani-Seyedlar and Mikhail A. Lebedev]

Part V Human Factors, Design, and Evaluation in BCI

Chapter 29 Toward Usability Evaluation for Brain–Computer Interfaces

[Ilsun Rhiu, Yushin Lee, Inchul Choi, Myung Hwan Yun, and Chang S. Nam]

Chapter 30 Why User-Centered Design Is Relevant for Brain–Computer Interfacing

and How It Can Be Implemented in Study Protocols

[Sonja C. Kleih and Andrea Kübler]

Chapter 31 A Generic Framework for Adaptive EEG-Based BCI Training and Operation

[Jelena Mladenović, Jeremie Mattout, and Fabien Lotte]

Chapter 32 Mind the Traps! Design Guidelines for Rigorous BCI Experiments

[Camille Jeunet, Stefan Debener, Fabien Lotte, Jeremie Mattout,

Reinhold Scherer, and Catharina Zich]

Chapter 33 Evaluation and Performance Assessment of the Brain–Computer

Interface System

[Md Rakibul Mowla, Jane E. Huggins, and David E. Thompson]

Part VI Emerging Issues and Future BCIs

Chapter 34 Privacy and Ethics in Brain–Computer Interface Research

[Eran Klein and Alan Rubel]

Chapter 35 Associative Plasticity Induced by a Brain–Computer Interface Based

on Movement-Related Cortical Potentials

[Natalie Mrachacz-Kersting, Ning Jiang, Kim Dremstrup, and Dario Farina]

Chapter 36 Past and Future of Multi-Mind Brain–Computer Interfaces

[Davide Valeriani and Ana Matran-Fernandez]

Chapter 37 Bidirectional Neural Interfaces

[Mikhail A. Lebedev and Alexei Ossadtchi]

Chapter 38 Perspectives on Brain–Computer Interfaces

[Gerwin Schalk]

Conclusion: Moving Forward in Brain–Computer Interfaces

[Chang S. Nam, Fabien Lotte, and Anton Nijholt]