Research Article
Prediction of Depth of Sedation from Biological Signals Using Continuous Restricted Boltzmann Machine
Table 1
The performance of proposed approach using different types of features.
| ā | Types of features | ā | BioFea | AneFea | ComFea |
| Maximum MSE | 0.0551 | 0.0621 | 0.0531 | Average MSE | 0.0524 | 0.0599 | 0.0504 | Minimum MSE | 0.0504 | 0.0591 | 0.0481 | The number of neurons | 4 | 69 | 6 |
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