Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies

✍ Scribed by Teodiano Freire Bastos-Filho (editor)

• Publisher: CRC Press
• Year: 2020
• Tongue: English
• Leaves: 101
• Edition: 1
• Category: Library

✦ Synopsis

This book aims to bring to the reader an overview of different applications of brain-computer interfaces (BCIs) based on more than 20 years of experience working on these interfaces. The author provides a review of the human brain and EEG signals, describing the human brain, anatomically and physiologically, with the objective of showing some of the patterns of EEG (electroencephalogram) signals used to control BCIs. It then introduces BCIs and different applications, such as a BCI based on ERD/ERS Patterns in α rhythms (used to command a robotic wheelchair with an augmentative and alternative communication (AAC) system onboard it); a BCI based on dependent-SSVEP to command the same robotic wheelchair; a BCI based on SSVEP to command a telepresence robot and its onboard AAC system; a BCI based on SSVEP to command an autonomous car; a BCI based on independent-SSVEP (using Depth-of-Field) to command the same robotic wheelchair; the use of compressive technique in SSVEP-based BCI; a BCI based on motor imagery (using different techniques) to command a robotic monocycle and a robotic exoskeleton; and the first steps to build a neurorehabilitation system based on motor imagery of pedalling together an in immersive virtual environment. This book is intended for researchers, professionals and students working on assistive technology.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Acknowledgements
Editor
List of Contributors
1 Review of the Human Brain and EEG Signals
1.1 Planes of Section and Reference Points of the Human Brain
1.2 Details of S1, M1, A1, V1, Wernicke’s, and Broca’s Areas
1.3 Pyramidal Tract and Contralaterality of Motor Movements
1.4 Neuronal Circuits and Oscillatory Activity of the Thalamocortical System
1.5 Direct Pathway of Movement
1.6 EEG Signal
1.7 EEG Electrodes
1.8 EEG Acquisition
1.9 Main EEG Rhythms
1.10 Artifacts
1.11 Spatial Filtering
1.11.1 Event-Related Potential (ERP)
1.12 Movement-Related (Cortical) Potentials (MRPs/MRCPs)
1.13 ERD/ERS
1.14 Steady-State Visual Evoked Potentials (SSVEPs)
1.14.1 Dependent and Independent SSVEP
References
2 Brain–Computer Interfaces (BCIs)
References
3 Applications of BCIs
3.1 BCI Based on ERD/ERS Patterns in ? Rhythms
3.1.1 Command of Robotic Wheelchair and Augmentative and Alternative Communication Onboard System
3.2 BCIs Based on Dependent SSVEP
3.2.1 Command of a Robotic Wheelchair
3.2.2 BCI Based on SSVEP to Command a Telepresence Robot and Its Onboard AAC System
3.2.3 Hybrid-BCI Based on SSVEP to Command an Autonomous Car
3.3 BCIs Based on Independent SSVEP
3.4 Compressive Technique Applied to SSVEP-Based BCI
3.5 BCIs Based on Motor Imagery
References
4 Future of Non-Invasive BCIs
References
Index