Research Article
Propofol Anesthesia Depth Monitoring Based on Self-Attention and Residual Structure Convolutional Neural Network
Table 3
Parameter settings of each layer of CNN.
| Layer | Layer type | Nuclear model | Stride | Number of zero-padded turns | Output feature map size | Number of output feature maps |
| 1 | Convolutional layer 1 | | 1 | 1 | | 16 | 2 | Pooling layer 1 | | 2 | — | | 16 | 3 | Convolutional layer 1 | | 1 | 1 | | 32 | 4 | Pooling layer 1 | | 2 | — | | 32 | 5 | Convolutional layer 1 | | 1 | 1 | | 64 | 6 | Pooling layer 1 | | 2 | — | | 64 | 11 | Output layer | — | — | — | — | 1 |
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