The present disclosure relates to a technology for a sensor network, machine to machine (M2M), machine type communication (MTC) and internet of things (IoT). The present disclosure can be utilized for intelligent services (smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail trading, security and safety-related services, etc.) based on the technology. A control method of a control device for managing a user's sleep environment according to the present invention may comprise the steps of: obtaining sleep-related information of the user on the basis of user sensing data sensed by a sensor; and controlling, on the basis of the sleep-related information, a first wavelength band output of at least one electronic device comprising a light source. The present invention may also include other embodiments, not limited to the above embodiment.

The present disclosure relates to a technology for a sensor network, machine to machine (M2M), machine type communication (MTC) and internet of things (IoT). The present disclosure can be utilized for intelligent services (smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail trading, security and safety-related services, etc.) based on the technology. A control method of a control device for managing a user's sleep environment according to the present invention may comprise the steps of: obtaining sleep-related information of the user on the basis of user sensing data sensed by a sensor; and controlling, on the basis of the sleep-related information, a first wavelength band output of at least one electronic device comprising a light source. The present invention may also include other embodiments, not limited to the above embodiment.

A method is provided for measuring a wake up indicator, where the wake up indicator gives the likelihood of a user waking up undesirably. It is based on the knowledge that waking up during deep NREM sleep is not desirable due to sleep inertia and on the recognition that it is also undesirable to wake up during REM sleep due to atonia. A sleep inertia estimation is determined to estimate if the user is in NREM sleep and an atonia estimation is determined to estimate if the user is in REM sleep. The wake up indicator is determined from the sleep inertia estimation and the atonia estimation. The wake up indicator thus may be used as an indicator for the time when it is suitable to wake up the user in a way which avoids arousal from a deep sleep state or from REM sleep, during which atonia may arise.

There is provided a control unit (100) for use with a respiratory assist device (102) that assists a subject (104) with respiration. The control unit (100) configured to detect a time at which delivery of an inhalable therapy to the subject (104) is manually triggered on an inhalable therapy device (106). The control unit (100) is also configured to detect whether the subject (104) has fallen asleep and, on detecting that the subject (104) has fallen asleep, control the inhalable therapy device (106) to automatically trigger delivery of the inhalable therapy to the subject (104) at least a predefined length of time following the detected time at which delivery of the inhalable therapy to the subject (104) is manually triggered.

A baby monitor system comprises: a memory; and a processor coupled to the memory and configured to: obtain a sleep schedule of a baby; obtain vitals of the baby, wherein the vitals are based on pulse oximetry; and cause a first sound or a first light to emit in response to the sleep schedule and the vitals. A method comprises: obtaining a sleep schedule of a baby; obtaining vitals of the baby, wherein the vitals are based on pulse oximetry; and causing a first sound or a first light to emit in response to the sleep schedule and the vitals.

The present invention relates to compositions, devices and methods of delayed and sustained release of energy molecules for brain function. The composition comprises an energy molecule required for human brain function; wherein the release of the energy molecule is delayed and then sustained over a period of time. The methods comprise administering the composition subject in need thereof immediately prior to going to sleep. The present invention also relates to systems for brain stimulation during sleep and methods of use thereof. The system comprises a brain stimulation module and at least one of a brain energy source, a hypnotic source, or both. The methods involve administering to a subject a brain energy molecule, a hypnotic, or both and providing to the subject during restorative sleep a sensory stimulation.

Described is a system for adaptable neurostimulation intervention. The system monitors a set of neurophysiological signals in real-time and updates a physiological and behavioral model. The set of neurophysiological signals are classified in real-time based on the physiological and behavioral model. A neurostimulation intervention schedule is generated based on the classified set of neurophysiological signals. The system activates electrodes via a neurostimulation intervention system to cause a timed neurostimulation intervention to be administered based on the neurostimulation intervention schedule. The neurostimulation intervention schedule and timed neurostimulation intervention are refined based on new sets of neurophysiological signals.

In an exemplary embodiment of the present disclosure, a sleeping environment control device using reinforcement learning is disclosed. The sleeping environment control device using reinforcement learning includes: a main body on which a user is located; a sensor unit configured to measure a biometric signal of the user and generate current state information and post-operation state information; an operation unit configured to control a temperature and humidity of the main body in order to change a sleeping state of the user based on a control signal of a processor; a processor including one or more cores; and a memory configured to store program codes executable in the processor, in which the processor may include: a sleeping adequacy information generation module which generates current sleeping adequacy information of the user based on the current state information and generates post-operation sleeping adequacy information of the user based on the post-operation state information; an operation information determination module which determines operation information controlling an operation of the operation unit by using an operation determination algorithm based on the current sleeping adequacy information; and an operation adequacy determination module which updates the operation determination algorithm by comparing the post-operation sleeping adequacy information with reference sleeping adequacy information and determining adequacy for the operation.

Disclosed herein are methods of reducing anxiety and/or agitation in a subject, with a neurological disorder, or a subject undergoing therapy, comprising exposing the subject to reminiscence therapy via a digital therapeutic device. The digital therapeutic device can include a transceiver configured to communicate with a database and a first user device and a processor operatively coupled to the user interface, a microphone, a speaker, and the transceiver.

Disclosed herein are methods of reducing anxiety and/or agitation in a subject, with a neurological disorder, or a subject undergoing therapy, comprising exposing the subject to reminiscence therapy via a digital therapeutic device. The digital therapeutic device can include a transceiver configured to communicate with a database and a first user device and a processor operatively coupled to the user interface, a microphone, a speaker, and the transceiver.