Open Access
Issue
MATEC Web Conf.
Volume 160, 2018
International Conference on Electrical Engineering, Control and Robotics (EECR 2018)
Article Number 07007
Number of page(s) 5
Section Information Science and Engineering
DOI https://doi.org/10.1051/matecconf/201816007007
Published online 09 April 2018
  1. A. Karagiannis, P. Constantinou, “Noise-Assisted Data Processing With Empirical Mode Decomposition in Biomedical Signals.” IEEE Engineering in Medicine & Biology Society, 2011, 15(1):11-8. [Google Scholar]
  2. M. Boersma, D. Smit, H. Bie, et al. “Network analysis of resting state EEG in the developing young brain: structure comes with maturation.” Human Brain Mapping, 2015, 32(3):413-425. [CrossRef] [Google Scholar]
  3. E. Kalunga, S. Chevallier, Q. Barthélemy, et al. “Online SSVEP-based BCI using Riemannian geometry”. Neurocomputing, 2016, 191:55-68. [CrossRef] [Google Scholar]
  4. E. Lukhanina, N. Mel’Nik, N.Berezetskaya, et al. “Co-rrelations between indices of P300 EEG potential, cognitive tests, and variational pulsometry in Parkin-sonian patients.” Neurophysiology, 2008, 40(1):39-47. [CrossRef] [Google Scholar]
  5. S. Pittaccio, F. Zappasodi, S. Viscuso, et al. “Primary sensory and motor cortex activities during voluntary and passive ankle mobilization by the SHADE orthosis. ”Human Brain Mapping, 2011, 32(1):60-70. [CrossRef] [Google Scholar]
  6. A. Bamdadian, C. Guan, K. Kai, et al. “Towards im-provement of MI-BCI performance of subjects with BCI deficiency.” International Ieee/embs Conference on Neural Engineering. IEEE, 2015:17-20. [Google Scholar]
  7. S. Huang, X. Wu.“Feature Extraction of EEG Signals Based on Mu/Beta Rhythm Imaging.” Guangzhou: School of Bioscience and Engineering, South China University of Technology, 2010. [Google Scholar]
  8. Çınar, Salim, N. Acır . “A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis”. Pergamon Press, Inc. 2017. [Google Scholar]
  9. D. Toledo, G. Manzano, J. Barela, et al. “Cortical corr-elates of response time slowing in older adults: ERP and ERD/ERS analyses during passive ankle movement.” 2016, 127(1):655-663. [Google Scholar]
  10. L. Zhao, H. Shen, S. Cui,et al. “Research of Brain-Computer Interface Technology Based on Labview.” IEEE Computer Society, 2008:72-80. [Google Scholar]
  11. H. Sun, Y. Xiang, Y. Sun,et al. “On-line EEG classifica-tion for brain-computer interface based on CSP and SVM.” International Congress on Image and Signal Processing. IEEE, 2010:4105-4108. [CrossRef] [Google Scholar]
  12. N. Zhang, X. Tang, Q. Liu. “Feature Extraction and Recognition of EEG Based on Semi-supervised Learning.” Engineering Science Edition, 2017(s2): 230-237. [Google Scholar]
  13. H. Lee, A. Cichocki, S. Choi. “Nonnegative Matrix Factorization for Motor Imagery EEG Classifica-tion.” Springer Berlin Heidelberg, 2006:250-259. [Google Scholar]
  14. M. Liu, J. Wang, C. Zheng, et al. Attention-related EEG features extracted by nonnegative matrix factorization [J]. Chinese Journal of Biophysics, 2006,22 (1): 67-72. [Google Scholar]
  15. S. Duan, Y. Shang, L. Pan. “Feature Extraction and Classification of EEG Signals in Multi-Kinematics Imaging.” Computer Measurement and Control, 2016,24 (2): 283-287. [Google Scholar]
  16. D. D. Lee, H. S. Seung. “Algorithms for nonnegative matrix factorization.” Advances in Neural Informa-tion Processing Systems, 2001, 13(6):556--562. [Google Scholar]
  17. B. Blankertz, K. Müller, G. Curio, et al. “The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials.” IEEE Trans. biomedical engineering, 2004, 51(6):1044-51. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.