Task-state EEG signal classification for spatial cognitive evaluation based on multiscale high-density convolutional neural network
In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before and after spatial cognitive training. Besides, the multi-dimensio...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2022
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