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. 2018 Mar 26;41(5):zsy041. doi: 10.1093/sleep/zsy041

Figure 2.

Figure 2.

Overview of the classifier module. The classification module receives CFS data from the client and decodes it into stacked spectrograms. The spectrograms are then fed into classification block 1 comprising of a dCNN. The output of the dCNN is fed into a multilayer perceptron in classification block 2. The final sleep stages and associated relative confidence are then sent back to the client.