Brain-Computer Interface Systems

Reza Fazel-Rezai

ISBN 10: 9535111345 / ISBN 13: 9789535111344

Published by Intechopen Jun 2013, 2013

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Brain-Computer Interface (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. The objective of this book is to discuss recent progress and future prospects of 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 (i.e., adaptive network fuzzy inference systems, Bayesian sequential learning, fractal features and neural networks, autoregressive models of wavelet bases, hidden Markov models, equivalent current dipole source localization, and independent component analysis); review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.Books on Demand GmbH, Überseering 33, 22297 Hamburg 280 pp. Englisch.

Seller Inventory # 9789535111344

Bibliographic Details

• Title: Brain-Computer Interface Systems
• Publisher: Intechopen Jun 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 9535111345
• ISBN 13: 9789535111344
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 24D millimeters 266 millimeters width by 185 millimeters height by 24 millimeters depth
• Weight: 820 grams

About this title

Synopsis

Brain-Computer Interface (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. The objective of this book is to discuss recent progress and future prospects of 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 (i.e., adaptive network fuzzy inference systems, Bayesian sequential learning, fractal features and neural networks, autoregressive models of wavelet bases, hidden Markov models, equivalent current dipole source localization, and independent component analysis); review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.