2017 Individual Seed Projects
Novel EEG Biomarkers of Sleep Health: A Machine Learning Study
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.