Brain Computer Interface-Based Signal Processing Techniques for Feature Extraction and Classification of Motor Imagery Using EEG: A Literature Review
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s44174-023-00082-z.pdf
Reference87 articles.
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3. D. Pawuś, S. Paszkiel, Application of EEG signals integration to proprietary classification algorithms in the implementation of mobile robot control with the use of motor imagery supported by EMG measurements. Appl. Sci. 12(11), 5762 (2022)
4. P. Chen, He. Wang, X. Sun, H. Li, C. Grebogi, Z. Gao, Transfer learning with optimal transportation and frequency mixup for EEG-based motor imagery recognition. IEEE Trans. Neural Syst. Rehabil. Eng. 30, 2866–2875 (2022)
5. R.A. Ramadan, A.V. Vasilakos, Brain computer interface: control signals review. Neurocomputing 223, 26–44 (2017)
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