Channel Selection based Similarity Measurement for Motor Imagery Classification
Author:
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9312958/9312977/09313336.pdf?arnumber=9313336
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A zero precision loss framework for EEG channel selection: enhancing efficiency and maintaining interpretability;Computer Methods in Biomechanics and Biomedical Engineering;2024-09-13
2. Time-Frequency-Space EEG Decoding Model Based on Dense Graph Convolutional Network for Stroke;IEEE Journal of Biomedical and Health Informatics;2024-09
3. An EEG channel selection method for motor imagery based on Fisher score and local optimization;Journal of Neural Engineering;2024-06-01
4. Optimal Channel Selection of Multiclass Motor Imagery Classification Based on Fusion Convolutional Neural Network with Attention Blocks;Sensors;2024-05-16
5. MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain–Machine Interfaces With EEG Channel Selection;IEEE Sensors Journal;2024-03-15
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