Sleep Stage Classification Using Unsupervised Feature Learning
Overview of three setups for an automatic sleep stager used in this work. The first method, feat-GOHMM, is a shallow method that uses prior knowledge. The second method, feat-DBN, is a deep architecture that also uses prior knowledge. And, lastly, the third method, raw-DBN, is a deep architecture that does not use any prior knowledge. See text for more details.