Sparse learning of band power features with genetic channel selection for effective classification of EEG signals
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference49 articles.
1. “Brain–Computer Interfaces: A Gentle Introduction”, in Brain-Computer Interfaces;Graimann;Springer,2009
2. Quaternion-based signal analysis for motor imagery classification from electroencephalographic signals;Batres-Mendoza;Sensors,2016
3. A. Liu, K. Chen, Q. Liu, Q. Ai, Y. Xie, and A. Chen, “Feature selection for motor imagery EEG classification based on firefly algorithm and learning automata,” in Sensors,vol. 17, no. 11, p.2576, https://doi.org/10.3390/s17112576.
4. M. T. Sadiq, X. Yu, Z. Yuan, Z. Fan, A. U. Rehman, G. Li. and G. Xiao, “Motor imagery EEG signals classification based on mode amplitude and frequency components using empirical wavelet transform,” IEEE Access,vol. 7, pp.127678-127692, https://doi.org/10.1109/ACCESS.2019.2939623.
5. A. M. Azab, H. Ahmadi, L. Mihaylova, and M. Arvaneh, “Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interface,” J. Neural Eng., vol. 17, no. 1, 2020, https://doi.org/10.1088/1741-2552/ab64a0.
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