Open Access
Issue |
MATEC Web Conf.
Volume 252, 2019
III International Conference of Computational Methods in Engineering Science (CMES’18)
|
|
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Article Number | 03010 | |
Number of page(s) | 6 | |
Section | Computational Artificial Intelligence | |
DOI | https://doi.org/10.1051/matecconf/201925203010 | |
Published online | 14 January 2019 |
- L. V. Marcuse, M. C. Fields, J. Yoo, J. A. French, Podstawy EEG z miniatlasem, 2, (2017) [Google Scholar]
- E. H. Jones, D. M. Amodio, APA Handbook of Research Methods in Psychology.Foundations, Planning, Measures, and Psychometrics, (2012) [Google Scholar]
- C. Guger, R. Ortner, S. Dimov, B. Z. Allison, Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (2016) [Google Scholar]
- S. Ahn, K. Kim, S. C. Jun, Front. Hum. Neurosci., no. 716, 9, (2016) [Google Scholar]
- L. Acqualagna, L. Botrel, C. Vidaurre, A. Küble, B. Blankertz, PLoS ONE, (2016) [Google Scholar]
- H. T. Quang, N. T. Chau, H.N.N. Hien, N. D. Thang, T. V. Van, IFMBE Proceedings, 63, (2017), pp. 729-735 [CrossRef] [Google Scholar]
- R. K. Chaurasiya, N. D. Londhe, S. Ghosh, International Journal of Control Theory and Applications, no. 42, 9,(2016), pp. 477-485 [Google Scholar]
- A. Yayık, Y. Kutlu, Natural and Engineering Sciences (NESciences), no. 2, 2, (2017), pp. 37-49 [CrossRef] [Google Scholar]
- K. Kitahara, Y. Hayashi, T. Kondo, S. Yano, Proceedings of2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), (2017) [Google Scholar]
- C. Kuo, H. Chen, H. Chou, P. Chen, Y. Kuo, Computational Intelligence and Neuroscience, no. 2301804, (2018) [Google Scholar]
- A. Kabbara, M. A. Khalil and et al., Proceedings of 2015 International Conference on Advances in Biomedical Engineering (ICABME), (2015) [Google Scholar]
- C. S. Nam., A. Nijholt, F. Lotte, Brain–Computer Interfaces Handbook, Technological and Theoretical Advances, (2018) [Google Scholar]
- J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, T. M. Vaughan, Brain-computer interfaces for communication and control. Clin. Neurophysiol.,113, (2002), pp. 767–791 [CrossRef] [PubMed] [Google Scholar]
- J. Wolpaw, E. W. Wolpaw, Brain-Computer Interfaces, Principles and Practice, (2012) [CrossRef] [Google Scholar]
- Z. R. Lugo, J. Rodriguez, A. Lechner, R. Ortner, I. S. Gantner, A. Kübler, et al., Clin. EEG Neurosci., 45, (2014), pp.14–21 [CrossRef] [Google Scholar]
- M. Wang, I. Daly, B. Z. Allison, J. Jin, Y. Zhang, L. Chen, X. Wang, Journal of Neuroscience Methods, 244,(2015), pp. 16-25 [CrossRef] [Google Scholar]
- R. Fazel-Rezai, B. Z. Allison, E. Sellers, C. Guger, S. Kleih, A. Kübler, Front. Neuroeng., no. 14, 5,(2012) [CrossRef] [Google Scholar]
- T. M. Rutkowski, Front. Neurorobot., no. 20, 10, (2016) [CrossRef] [Google Scholar]
- R. M. Gibson, D. Fernández-Espejo, L. Gonzalez-Lara, B. Y. Kwan, D. H., Lee, A. M. Owen and et al., Front. Hum. Neurosci., no. 950, 8, (2014) [CrossRef] [Google Scholar]
- F. Ferracuti, A. Freddi, S. Iarlori, S. Longhi, P. Peretti, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (2013), pp. 871-876 [Google Scholar]
- B. Z. Allison, W. Cho, R. Ortner, A. Heilinger, G.,C. Guger, Proceedings of 11 th International Conference on Augmented Cognition, (2017), pp. 253–265 [Google Scholar]
- C. Amaral, S. Mouga, M. Simões, H. C. Pereira, I. Bernardino, et al., Frontiers in Neuroscience, no. 447, 12, (2018) [CrossRef] [Google Scholar]
- X. Liu, F. Chao, M. Jiang, C. Zhou, W. Ren, M. Shi, Advances in Computational Intelligence Systems, (2018), pp. 239-244 [CrossRef] [Google Scholar]
- N. T. M. Huong, H. Q. Linh, L. Q. Khai, IFMBE Proceedings, 63, (2017), pp. 209-216 [CrossRef] [Google Scholar]
- R. Cunnington, R. Iansek, J. L. Bradshaw, J. G. Phillips, Experimental brainresearch, 111, (1996), pp. 429-436 [Google Scholar]
- G. Cattan, C. Mendoza, A. Andreev, M. Congedo, Computers, no. 2,7, (2018) [Google Scholar]
- G. G. Gentiletti, J. G. Gebhart, R. C. Acevedo, O. Yáñez-Suárez, V. Medina-Bañuelos, Irbm, 30, (2009), pp.218-225 [CrossRef] [Google Scholar]
- X. Perrin, R. Chavarriaga, F. Colas, R. Siegwart, J. D. R. Millán, Robotics and Autonomous Systems, 58, (2010), pp. 1246-1255. [CrossRef] [Google Scholar]
- A. M. Eldeib, O. Sarhan, M. A. Wahed, Proceedings of 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME), (2018) [Google Scholar]
- M. Xu, H. Qi, B. Wan, T. Yin, Z. Liu, D. Ming, Journal of Neural Engineering, no. 2,10, (2013) [Google Scholar]
- R. Singla, Biomedical Engineering Applications Basis and Communications, no. 3, 30, (2018) [Google Scholar]
- M. Bittencourt-Villalpando, N.M. Maurits, IEEE Transactions on Neural Systems and Rehabilitation Engineering, (2018) [Google Scholar]
- R. J. Rak, M. Kołodziej, A. Majkowski, Metrology and Measurement Systems, no. 3, 19, (2012), pp. 427-444 [Google Scholar]
- R. C. Smith, Electroencephalograph based brain computer interfaces, (2014) [Google Scholar]
- A. S. Al-Fahoum, A. A. Al-Fraihat, ISRN Neuroscience, no. 730218, (2014) [Google Scholar]
- F. Lotte, M. Congedo, A. Lécuyer, F. Lamarche, B. Arnaldi, Journal of Neural Engineering, no. 24, 4,(2007) [Google Scholar]
- A. Gevins, M. E. Smith, Electroencephalography (EEG) in neuroergonomics. Neuroergonomics: The brain at work,(2007), pp. 15-31 [Google Scholar]
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