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...
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Main Authors: | , , , , , , , , , |
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Format: | Book |
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IEEE,
2022-01-01T00:00:00Z.
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A1234.567 |
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