The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity.
The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.
Author(s): Aboul Ella Hassanien, Ahmad Taher Azar (eds.)
Series: Intelligent Systems Reference Library 74
Edition: 1
Publisher: Springer International Publishing
Year: 2015
Language: English
Pages: 416
Tags: Computational Intelligence; Artificial Intelligence (incl. Robotics); User Interfaces and Human Computer Interaction; Neurosciences
Front Matter....Pages i-xv
Front Matter....Pages 1-1
Brain Computer Interface: A Review....Pages 3-30
Basics of Brain Computer Interface....Pages 31-50
Noninvasive Electromagnetic Methods for Brain Monitoring: A Technical Review....Pages 51-95
Translational Algorithms: The Heart of a Brain Computer Interface....Pages 97-121
Front Matter....Pages 123-123
Source Localization for Brain-Computer Interfaces....Pages 125-153
Hippocampal Theta-Based Brain Computer Interface....Pages 155-184
Advanced fMRI and the Brain Computer Interface....Pages 185-213
Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals....Pages 215-240
A Configurable, Inexpensive, Portable, Multi-channel, Multi-frequency, Multi-chromatic RGB LED System for SSVEP Stimulation....Pages 241-269
Front Matter....Pages 271-271
EEG Based Brain Computer Interface for Speech Communication: Principles and Applications....Pages 273-293
Web-Based Intelligent EEG Signal Authentication and Tamper Detection System for Secure Telemonitoring....Pages 295-312
Competing and Collaborating Brains: Multi-brain Computer Interfacing....Pages 313-335
Mood Recognition System Using EEG Signal of Song Induced Activities....Pages 337-374
Digit Recognition System Using EEG Signal....Pages 375-416
