Advances in Artificial Neural Systems / 2012 / Article / Fig 2

Research Article

Sleep Stage Classification Using Unsupervised Feature Learning

Figure 2

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.
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