Open access peer-reviewed Edited volume

Brain-Computer Interface Systems

Recent Progress and Future Prospects

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.

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Brain-Computer Interface SystemsRecent Progress and Future ProspectsEdited by Reza Fazel-Rezai

Published: June 5th 2013

DOI: 10.5772/50696

ISBN: 978-953-51-1134-4

Copyright year: 2013

Books open for chapter submissions

35575 Total Chapter Downloads

42 Crossref Citations

70 Web of Science Citations

101 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. A User Centred Approach for Bringing BCI Controlled Applications to End-Users

By Andrea Kübler, Elisa Holz, Tobias Kaufmann and Claudia Zickler

2486

Open access peer-reviewed

2. BCI Integration: Application Interfaces

By Christoph Hintermüller, Christoph Kapeller, Günter Edlinger and Christoph Guger

2936

Open access peer-reviewed

3. Adaptive Network Fuzzy Inference Systems for Classification in a Brain Computer Interface

By Vahid Asadpour, Mohammd Reza Ravanfar and Reza Fazel-Rezai

2147

Open access peer-reviewed

4. Bayesian Sequential Learning for EEG-Based BCI Classification Problems

By S. Shigezumi, H. Hara, H. Namba, C. Serizawa, Y. Dobashi, A. Takemoto, K. Nakamura and T. Matsumoto

2027

Open access peer-reviewed

5. Optimal Fractal Feature and Neural Network: EEG Based BCI Applications

By Montri Phothisonothai and Katsumi Watanabe

2207

Open access peer-reviewed

6. Using Autoregressive Models of Wavelet Bases in the Design of Mental Task-Based BCIs

By Farshad Faradji, Farhad Faradji, Rabab K. Ward and Gary E. Birch

1759

Open access peer-reviewed

7. Client-Centred Music Imagery Classification Based on Hidden Markov Models of Baseline Prefrontal Hemodynamic Response

By Tiago H. Falk, Kelly M. Paton and Tom Chau

1558

Open access peer-reviewed

8. Equivalent-Current-Dipole-Source-Localization-Based BCIs with Motor Imagery

By Toshimasa Yamazaki, Maiko Sakamoto, Shino Takata, Hiromi Yamaguchi, Kazufumi Tanaka, Takahiro Shibata, Hiroshi Takayanagi, Ken-ichi Kamijo and Takahiro Yamanoi

1562

Open access peer-reviewed

9. Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery

By Alexander Frolov, Dušan Húsek, Pavel Bobrov, Olesya Mokienko and Jaroslav Tintera

1821

Open access peer-reviewed

10. A Review of P300, SSVEP, and Hybrid P300/SSVEP Brain- Computer Interface Systems

By Setare Amiri, Ahmed Rabbi, Leila Azinfar and Reza Fazel-Rezai

4503

Open access peer-reviewed

11. Review of Wireless Brain-Computer Interface Systems

By Seungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee

7086

Open access peer-reviewed

12. Brain Computer Interface for Epilepsy Treatment

By L. Huang and G. van Luijtelaar

1714

Open access peer-reviewed

13. Emotion Recognition Based on Brain-Computer Interface Systems

By Taciana Saad Rached and Angelo Perkusich

3769

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec
  • BKCI

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