Beyond traditional visual sleep scoring: massive feature extraction and unsupervised clustering of sleep time series
Nicolas Decat, Jasmine Walter, Zhao Hui Koh, Piengkwan Sribanditmongkol, Ben Fulcher, Jennifer Windt, Thomas Andrillon, Naotsugu Tsuchiya
This paper introduces a framework using over 7700 time-series features to cluster sleep epochs, revealing both overlaps and discrepancies with traditional visual scoring methods.
bioRxiv · Sep 8, 2021 · PreprintNeuroscience