Research Article
CNN-Based Personal Identification System Using Resting State Electroencephalography
Algorithm 1
Sample segmentation based on sliding windows.
| Input: resting state EEG data that are a two-dimensional matrix of channels × points, window length , stride | | Output: | | (1) | ; | | (2) | ; | | (3) | While do | | (4) | ; | | (5) | ; | | (6) | ;//Create a sample | | (7) | ; | | (8) | Return ; |
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