Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms

8 Oct 2018Alexander Neergaard OlesenPoul JennumPaul PeppardEmmanuel MignotHelge Bjarup Dissing Sorensen

We have developed an automatic sleep stage classification algorithm based on deep residual neural networks and raw polysomnogram signals. Briefly, the raw data is passed through 50 convolutional layers before subsequent classification into one of five sleep stages... (read more)

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