"Brain-Computer Interface Systems: Recent Progress and Future Prospects" ed. by Reza Fazel-Rezai

The objective of this book is to discuss recent progress and future prospects of Brain-Computer Interface (BCI) systems. The topics discussed in this book are: important issues concerning end-users; approaches to interconnect a BCI system with one or more applications; several advanced signal processing methods; review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.

BCI systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer.
In the recent years, attention to this new area of research and the number of publications discussing different paradigms, methods, signal processing algorithms, and applications have been increased dramatically.

Contents
Preface
1 A User Centred Approach for Bringing BCI Controlled Applications to End-Users
2 BCI Integration: Application Interfaces
3 Adaptive Network Fuzzy Inference Systems for Classification in a Brain Computer Interface
4 Bayesian Sequential Learning for EEG-Based BCI Classification Problems
5 Optimal Fractal Feature and Neural Network: EEG Based BCI Applications
6 Using Autoregressive Models of Wavelet Bases in the Design of Mental Task-Based BCIs
7 Client-Centred Music Imagery Classification Based on Hidden Markov Models of Baseline Prefrontal Hemodynamic Responses
8 Equivalent-Current-Dipole-Source-Localization-Based BCIs with Motor Imagery
9 Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery
10 A Review of P300, SSVEP, and Hybrid P300/SSVEP Brain-Computer Interface Systems
11 Review of Wireless Brain-Computer Interface Systems
12 Brain Computer Interface for Epilepsy Treatment
13 Emotion Recognition Based on Brain-Computer Interface Systems