A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9167168/9175149/09176705.pdf?arnumber=9176705
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3. Design an Accurate BCI System by a Novel Method and the Minimum Number of Channels Based on Five Class Motor Imagery;2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME);2023-11-30
4. MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
5. Weighted Vector Visibility based Graph Signal Processing (WVV-GSP) for Neural Decoding of Motor Imagery EEG signals;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24
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