- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Advances in Human-Computer Interaction
Volume 2012 (2012), Article ID 185320, 10 pages
A Combination of Pre- and Postprocessing Techniques to Enhance Self-Paced BCIs
1Department of Biomedical Engineering, Tarbiat Modares University, Tehran 14115194, Iran
2Intelligent Systems Research Centre, University of Ulster, Derry BT48 7JL, UK
Received 5 July 2012; Revised 29 October 2012; Accepted 1 December 2012
Academic Editor: Christoph Braun
Copyright © 2012 Raheleh Mohammadi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, “Brain-computer interfaces for communication and control,” Clinical Neurophysiology, vol. 113, no. 6, pp. 767–791, 2002.
- B. Z. Allison, E. W. Wolpaw, and J. R. Wolpaw, “Brain-computer interface systems: progress and prospects,” Expert Review of Medical Devices, vol. 4, no. 4, pp. 463–474, 2007.
- S. Marcel and J. D. Millán, “Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 743–752, 2007.
- R. Scherer, A. Schloegl, F. Lee, H. Bischof, J. Janša, and G. Pfurtscheller, “The self-paced graz brain-computer interface: methods and applications,” Computational Intelligence and Neuroscience, vol. 2007, Article ID 79826, 9 pages, 2007.
- S. G. Mason and G. E. Birch, “A brain-controlled switch for asynchronous control applications,” IEEE Transactions on Biomedical Engineering, vol. 47, no. 10, pp. 1297–1307, 2000.
- C. Babiloni, F. Carducci, F. Cincotti et al., “Human movement-related potentials vs desynchronization of EEG alpha rhythm: a high-resolution EEG study,” NeuroImage, vol. 10, no. 6, pp. 658–665, 1999.
- G. Pfurtscheller and F. H. Lopes da Silva, “Event-related EEG/MEG synchronization and desynchronization: basic principles,” Clinical Neurophysiology, vol. 110, no. 11, pp. 1842–1857, 1999.
- G. Pfurtscheller and C. Neuper, “Motor imagery activates primary sensorimotor area in humans,” Neuroscience Letters, vol. 239, no. 2-3, pp. 65–68, 1997.
- E. Gerardin, A. Sirigu, S. Léhericy et al., “Partially overlapping neural networks for real and imagined hand movements,” Cerebral Cortex, vol. 10, no. 11, pp. 1093–1104, 2000.
- Z. Yu, S. G. Mason, and G. E. Birch, “Enhancing the performance of the LF-ASD brain computer interface,” in Proceedings of the 2nd Joint Engineering in Medicine and Biology, 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, vol. 3, pp. 2443–2444, October 2002.
- J. F. Borisoff, S. G. Mason, A. Bashashati, and G. E. Birch, “Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch,” IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 985–992, 2004.
- A. Bashashati, M. Fatourechi, R. K. Ward, and G. E. Birch, “User customization of the feature generator of an asynchronous brain interface,” Annals of Biomedical Engineering, vol. 34, no. 6, pp. 1051–1060, 2006.
- A. Bashashati, S. Mason, R. K. Ward, and G. E. Birch, “An improved asynchronous brain interface: making use of the temporal history of the LF-ASD feature vectors,” Journal of Neural Engineering, vol. 3, no. 2, pp. 87–94, 2006.
- M. Fatourechi, R. K. Ward, and G. E. Birch, “A self-paced brain-computer interface system with a low false positive rate,” Journal of Neural Engineering, vol. 5, no. 1, pp. 9–23, 2008.
- C. S. L. Tsui, A. Vuckovic, R. Palaniappan, F. Sepulveda, and J. Q. Gan, “Narrow band spectral analysis for movement onset detection in asynchronous BCI,” in Proceedings of the 3rd International Workshop on Brain-Computer Interfaces, pp. 30–31, Graz, Austria, 2006.
- B. A. S. Hasan and J. Q. Gan, “Unsupervised movement onset detection from EEG recorded during self-paced real hand movement,” Medical and Biological Engineering and Computing, vol. 48, no. 3, pp. 245–253, 2010.
- K. Qian, P. Nikolov, D. Huang, D. Y. Fei, X. Chen, and O. Bai, “A motor imagery-based online interactive brain-controlled switch: paradigm development and preliminary test,” Clinical Neurophysiology, vol. 121, no. 8, pp. 1304–1313, 2010.
- T. Solis-Escalante, G. Müller-Putz, and G. Pfurtscheller, “Overt foot movement detection in one single Laplacian EEG derivation,” Journal of Neuroscience Methods, vol. 175, no. 1, pp. 148–153, 2008.
- G. Pfurtscheller and T. Solis-Escalante, “Could the beta rebound in the EEG be suitable to realize a “brain switch”?” Clinical Neurophysiology, vol. 120, no. 1, pp. 24–29, 2009.
- T. Wang, J. Deng, and B. He, “Classifying EEG-based motor imagery tasks by means of time-frequency synthesized spatial patterns,” Clinical Neurophysiology, vol. 115, no. 12, pp. 2744–2753, 2004.
- N. Yamawaki, C. Wilke, Z. Liu, and B. He, “An enhanced time-frequency-spatial approach for motor imagery classification,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 250–254, 2006.
- G. Townsend, B. Graimann, and G. Pfurtscheller, “Continuous EEG classification during motor imagery—simulation of an asynchronous BCI,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 12, no. 2, pp. 258–265, 2004.
- B. Hjorth, “An on line transformation of EEG scalp potentials into orthogonal source derivations,” Electroencephalography and Clinical Neurophysiology, vol. 39, no. 5, pp. 526–530, 1975.
- R. Leeb, D. Friedman, G. R. Müller-Putz, R. Scherer, M. Slater, and G. Pfurtscheller, “Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic,” Computational Intelligence and Neuroscience, vol. 2007, Article ID 79642, 8 pages, 2007.
- R. Leeb, D. Friedman, R. Scherer, M. Slater, and G. Pfurtscheller, “EEGbased, “walking” of a tetraplegic in virtual reality,” in Proceedings of the Maia Brain Computer Interfaces Workshop—Challenging Brain Computer Interfaces: Neural Engineering Meets Clinical Needs in Neurorehabilitation, pp. 43–44, 2006.
- F. Lotte, Y. Renard, and A. Lécuyer, “Self-paced brain-computer interaction with virtual worlds: a quantitative and qualitative study ‘out-of-the-lab’,” in Proceedings of the 4th International Brain-Computer Interface Workshop and Training Course, 2008.
- G. Pfurtscheller and C. Neuper, “Motor imagery direct communication,” Proceedings of the IEEE, vol. 89, no. 7, pp. 1123–1134, 2001.
- A. Schlogl, C. Brunner, R. Scherer, and A. Glatz, “BioSig: an open-source software library for BCI research,” in Towards Brain-Computer Interfacing, pp. 347–358, MIT Press, Boston, Mass, USA, 2007.
- F. Lotte, M. Congedo, A. Lécuyer, F. Lamarche, and B. Arnaldi, “A review of classification algorithms for EEG-based brain-computer interfaces,” Journal of Neural Engineering, vol. 4, no. 2, pp. R1–R13, 2007.
- C.-C. Chang and C.-J. Lin, “LIBSVM: a library for support vector machines,” Software, 2001, http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
- M. Sokolova, N. Japkowicz, and S. Szpakowicz, Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation, Springer, Berlin, Germany, 2006.
- A. Satti, D. Coyle, and G. Prasad, “Continuous EEG classification for a self-paced BCI,” in Proceedings of the 4th International IEEE/EMBS Conference on Neural Engineering (NER'09), pp. 315–318, Antalya, Turkey, May 2009.
- J. D. Gibbons, Nonparametric Statistical Inference, Marcel Dekker, New York, NY, USA, 1985.
- M. Hollander and D. A. Wolfe, Nonparametric Statistical Methods, John Wiley & Sons, Hoboken, NJ, USA, 1999.