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Brain–Computer Interfaces Handbook

Technological and Theoretical Advances

Edited by: Chang S. Nam , Anton Nijholt , Fabien Lotte

Print publication date:  January  2018
Online publication date:  January  2018

Print ISBN: 9781498773430
eBook ISBN: 9781351231954
Adobe ISBN:

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Book description

This handbook is a valuable resource to anyone involved with improvement of people's 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

Prelims Download PDF
Introduction Download PDF
Chapter  1:  Brain–Computer Interface Download PDF
Chapter  2:  Facilitating the Integration of Modern Neuroscience into Noninvasive BCIs Download PDF
Chapter  3:  Passive Brain–Computer Interfaces Download PDF
Chapter  4:  Brain–Computer Interfaces for Motor Rehabilitation, Assessment of Consciousness, and Communication Download PDF
Chapter  5:  Therapeutic Applications of BCI Technologies Download PDF
Chapter  6:  Neuroprosthetics Download PDF
Chapter  7:  Design and Customization of SSVEP-Based BCI Applications Aimed for Elderly People Download PDF
Chapter  8:  Affective Brain–Computer Interfacing and Methods for Affective State Detection Download PDF
Chapter  9:  Toward Practical BCI Solutions for Entertainment and Art Performance Download PDF
Chapter  10:  BCI for Music Making Download PDF
Chapter  11:  BCI and Games: Playful, Experience-Oriented Learning by Vivid Feedback? Download PDF
Chapter  12:  Brain–Computer Interfaces for Mediating Interaction in Virtual and Augmented Reality Download PDF
Chapter  13:  Brain–Computer Interfaces and Haptics Download PDF
Chapter  14:  Utilizing Subdermal Electrodes as a Noninvasive Alternative for Motor-Based BCIs Download PDF
Chapter  15:  Validation of Neurotrophic Electrode Long-Term Recordings in Human Cortex Download PDF
Chapter  16:  ECoG-Based BCIs Download PDF
Chapter  17:  BCI Software Download PDF
Chapter  18:  Gentle Introduction to Signal Processing and Classification for Single-Trial EEG Analysis Download PDF
Chapter  19:  Riemannian Classification for SSVEP-Based BCI Download PDF
Chapter  20:  The Fundamentals of Signal Processing for Evoked Potential BCIs: Download PDF
Chapter  21:  Bayesian Learning for EEG Analysis Download PDF
Chapter  22:  Transfer Learning for BCIs Download PDF
Chapter  23:  A Step-by-Step Tutorial for a Motor Imagery–Based BCI Download PDF
Chapter  24:  Eye Gaze Collaboration with Brain–Computer Interfaces Download PDF
Chapter  25:  Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach Download PDF
Chapter  26:  Issues and Challenges in Designing P300 and SSVEP Paradigms Download PDF
Chapter  27:  Hybrid Brain–Computer Interfaces and Their Applications Download PDF
Chapter  28:  Augmenting Attention with Brain–Computer Interfaces Download PDF
Chapter  29:  Toward Usability Evaluation for Brain–Computer Interfaces Download PDF
Chapter  30:  Why User-Centered Design Is Relevant for Brain–Computer Interfacing and How It Can Be Implemented in Study Protocols Download PDF
Chapter  31:  A Generic Framework for Adaptive EEG-Based BCI Training and Operation Download PDF
Chapter  32:  Mind the Traps! Design Guidelines for Rigorous BCI Experiments Download PDF
Chapter  33:  Evaluation and Performance Assessment of the Brain–Computer Interface System Download PDF
Chapter  34:  Privacy and Ethics in Brain–Computer Interface Research Download PDF
Chapter  35:  Associative Plasticity Induced by a Brain–Computer Interface Based on Movement-Related Cortical Potentials Download PDF
Chapter  36:  Past and Future of Multi-Mind Brain–Computer Interfaces Download PDF
Chapter  37:  Bidirectional Neural Interfaces Download PDF
Chapter  38:  Perspectives on Brain–Computer Interfaces Download PDF
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