Self-Supervised Learning of Accelerometer Data Provides New Insights for Sleep and Its Association with Mortality

Self-Supervised Learning of Accelerometer Data Provides New Insights for Sleep and Its Association with Mortality

Information Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Life Sciences, Biophysics,
self-supervised learning   accelerometer   sleep   mortality   deep learning   sleep stage classification   multicenter cohort study  

Insights into the Association Between Sleep and Mortality Revealed by Self-supervised Learning of Wrist-worn Accelerometer Data In modern society, sleep is an essential basic activity for life, and its importance is self-evident. Accurately measuring and classifying sleep/wake states and different sleep stages is crucial for diagnosing sleep disord...