Artificial intelligence-based non-invasive neural circuit control treatment system and method for improving sleep

Abstract

Provided is an artificial intelligence-based noninvasive brain circuit control therapy system for sleep enhancement, the system including a wearable device including a first wearable member and a second wearable member formed to be wearable on a body of a user, a first sensor unit disposed on the first wearable member to detect an electroencephalogram (EEG), a second sensor unit disposed on the second wearable member to detect a biometric signal different from the EEG, and a stimulation means disposed on the first wearable member to stimulate the brain according to a stimulation signal provided thereto; a learning unit configured to machine-learn a criterion for determination of a sleep stage of the user based on a first sensing signal generated by the first sensor unit and a second sensing signal generated by the second sensor unit; and a determination unit configured to determine a current sleep stage of the user based on the criterion for determination, generate a stimulation signal corresponding to a determined sleep stage, and provide the stimulation signal to the stimulation means.

Dependencies are inferred from the claim text.