Research Article
Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments
Table 5
Evaluation results of CNN with 11 channels.
| Networks | Stages | Precision | Sensitivity | Specificity | Accuracy | Best | Worst | Best | Worst | Best | Worst | Best | Worst |
| Our CNN with 11 channels | W | 0.9000 | 0.8051 | 0.9800 | 0.7354 | 0.9800 | 0.8700 | 0.9220 | 0.8678 | N1 | 0.8429 | 0.6234 | 0.80 | 0.65 | 0.9612 | 0.7212 | 0.8133 | 0.7022 | N2 | 0.9422 | 0.6087 | 0.934 | 0.5079 | 1 | 0.8055 | 0.9300 | 0.8321 | N3 | 0.9213 | 0.7000 | 0.9650 | 0.6454 | 0.9870 | 0.8366 | 0.9512 | 0.8965 | REM | 0.9534 | 0.7300 | 0.8878 | 0.7699 | 0.9877 | 0.8311 | 0.9243 | 0.8612 | Average | 0.9200 | 0.9053 | 0.9221 | 0.9012 |
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