Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines

The promising results of the proposed methodology suggest that it may be a valuable alternative to existing automatic methods and that it could accelerate visual scoring by providing a robust starting hypnogram that can be further fine-tuned by expert inspection.