Deep-learning-based motor imagery EEG classification by exploiting the functional connectivity of cortical source imaging
Author:
Funder
Suzhou Science and Technology Project
Huzhou Science and Technology Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02965-6.pdf
Reference50 articles.
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3. Jeannerod, M., Decety, J.: Mental motor imagery: a window into the representational stages of action. Curr. Opin. Neurobiol. 5(6), 727–732 (1995)
4. Bashar, S. K., Hassan, A. R., Bhuiyan, M. I. H.: Motor imagery movements classification using multivariate EMD and short time Fourier transform. In: 2015 Annual IEEE India Conference (INDICON), pp.1–6 (2015). IEEE
5. Chaudhary, S., Taran, S., Bajaj, V., et al.: A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications. Comput. Methods Programs Biomed. 187, 105325 (2020)
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