Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study.

Shahab Haghayegh Kun Hu Katie L Stone Susan Redline Eva S Schernhammer

Published in: Journal of medical Internet research (2023)

SleepInceptionNet may allow real-time automated sleep staging in free-living conditions using a single-channel EEG, which may be useful for on-demand intervention or treatment during specific sleep stages.

Keyphrases

deep learning
convolutional neural network
machine learning
sleep quality
physical activity
high throughput
randomized controlled trial
lymph node
working memory
functional connectivity
depressive symptoms
resting state
combination therapy
replacement therapy