Manipulating and Optimizing Circadian Rhythms for betterment of Sleep and eventually its contribution to other disorders

How sleep is managed is the gateway to improving health at scale. This project will leverage current rules, technologies and methods for manual and automated sleep scoring using standard scalp polysomnography and wearables data for developing novel methods for sleep scoring. This approach gives us immediate access to key brain networks with modest incremental risk and effort, and with an acceptable statistical base to evaluate modulation of behavioral states by wearables.

digital healthcare, unsupervised deep learning to discover sleep stages, interplay between different neural network of neurological disorders, artificial agent for healthcare assistant