SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series.
Journal:
Physiological measurement
Published Date:
Sep 3, 2019
Abstract
OBJECTIVE: In this work, a dense recurrent convolutional neural network (DRCNN) was constructed to detect sleep disorders including arousal, apnea and hypopnea using polysomnography (PSG) measurement channels provided in the 2018 PhysioNet Challenge database.