Individual Seed Projects

Novel EEG Biomarkers of Sleep Health: A Machine Learning Study

Associate Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)
Assistant Professor of Aeronautics and Astronautics and, by courtesy, of Computer Science
(650) 497-3574

What is the biological correlate of subjective sleep quality? Using a variety of machine learning techniques to decode the recorded sleep of more than 5,000 adults, we will determine whether there is a single, underlying biological signal that corresponds to that feeling of restedness in the morning.

The discovery of such a biological correlate is a critical component in creating a closed-loop system to meaningfully modify an individual’s sleep health.