Researchers at Mount Sinai have developed a transformer-based tool to analyse sleep stages more accurately, using over 1-million hours of sleep data.

The model, called patch foundational transformer for sleep (PFTSleep), analyzes brain waves ... and supporting future clinical tools to detect sleep disorders and other health risks. Current sleep ...

The model is trained through self-supervision, a method that aids in learning clinical features from physiological signals.