Abstract: This application relates to an epilepsy monitoring device. In one aspect, the device includes a first unit having a first body portion arranged on a user's head, a sensor unit that is connected to the first body portion and includes a first sensor for measuring a cranial nerve signal, and a stimulation unit that is connected to the first body portion and applies cranial nerve treatment stimulation to the brain according to a provided brain stimulation signal. The device may also include a second unit electrically connected to the first unit and having a second body portion arranged on a body other than the user's head, a battery unit that is arranged in the second body portion and supplies power to the first unit, and a communication unit for wireless communication with an external device.

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 dete