A bed includes components to control pressure of a sleep surface, for example based on sleep position and sleep stages of a user. In some embodiments target pressures for the sleep surface are iteratively adjusted over multiple sleep sessions so to achieve improvements in sleep states and/or sleep quality for the user.

An intelligent baby caring method and arrangement helps to recognize and maintain emotional interaction between mother and her baby and to improve the baby's life rhythm and calm and soothe him/her automatically when needed and help him/her to fall asleep and to wake up at the most convenient time and way. The aim is to help the mother with her baby to find optimal life and care rhythm. The invention is focused on a platform (101) with many sensors, sensor sheet (120), a transducer to produce acoustic and mechanical vibrations (14) and an airflow blower (132). Sensors are also fixed to the mother (10) and in the care room (198). A sleep/activity graph of the baby and sleep/emotion graph of the mother are measured and tracked with multimodal sensors and an artificial intelligence unit (200) processes audio, motion and airflow actions given to the baby from the platform to help the baby to move from an improper to optimal sleep/activity level.

A hub of intelligent Internet of Things (IoT) for performing a light therapy using light irradiated by a light output device. The hub of intelligent IoT includes a sleep disorder reading unit determining whether a sleep disorder has occurred based on sleep pattern information; a control signal generator generating a control signal for controlling the light output device when it is determined that the sleep disorder has occurred; and a communication interface unit providing the control signal to the light output device. At least one device implementing the method of providing the intelligent voice recognition model may be associated with an artificial intelligence module, a unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

A concentration degree measurement device includes: a concentration degree obtainer that obtains a degree of concentration of a person; a drowsiness degree obtainer that obtains a degree of drowsiness of the person; a corrector that corrects the degree of concentration, based on the degree of drowsiness; an outputter that outputs a corrected degree of concentration indicating the degree of concentration corrected by the corrector; a determiner that determines a factor for the corrected degree of concentration, based on the degree of drowsiness and the corrected degree of concentration; and a controller that controls an electronic device, based on a result of the determination by the determiner, the electronic device inducing the person to wake up or concentrate.

Systems and techniques for enhanced sleep tracking, monitoring, and conditioning are discussed herein. A device may be couplable to, or integrally formed with, a piece of furniture (a “nearable”) receives sensor data from one or more sensors accessible to the device and, based on a determined stage of sleep, may actuate one or more devices for conditioning sleep. In some examples, the nearable may be configured to receive a smartphone such that one or more processors and sensors of the smartphone may be used to perform at least some of the processes. When configured to receive a smartphone, the nearable's cavity may retain the smartphone via a spring mechanism to create an additional button for user interaction, as well as be shaped to minimize an amount of electromagnetic radiation (including light emitted from a screen) of the smartphone, while optimizing sounds output from the smartphone.

An anti-drowsiness device includes a head cover; an electroencephalograph, which is formed on the head cover, the electroencephalograph receiving the brain-waves all the time and generating a sleep-detection signal when a specific frequency, which shows drowsiness, is received, and an electrostimulator, which is formed on the head cover, the electrostimulator generating electrostimulation when receiving the sleep-detection signal.

Techniques (methods and devices) for neural stimulation through audio and/or non-audio stimulation. The techniques may be performed by a processing device and may include receiving an audio signal from an audio source and a desired mental state. An element of the audio signal that correspond to a modulation characteristic of the desired mental state may be identified. An envelope from the element may be determined. One or more non-audio signals may be generated based on at least a rate and phase of the envelope. The one or more non-audio signals may be transmitted to one or more non-audio output devices to generate one or more non-audio outputs. A relative timing of the one or more non-audio outputs and an output of the audio signal may be coordinated. The neural stimulation through audio and/or non-audio stimulation may assist patients before, during, and after anesthesia.

A plurality of flow rate values associated with pressurized air directed to an airway of a user of a respiratory therapy system is received. A plurality of pressure values associated with the pressurized air directed to the airway of the user is received. A first time associated with a first breath of the user and a second time associated with a second breath of the user are identified. The plurality of flow rate values is filtered based at least in part on the identified first time and the identified second time. The filtering produces a subset of the plurality of flow rate values. An intentional leak characteristic curve for the respiratory therapy system is determined using at least two of the subset of the plurality of flow rate values and the corresponding pressure values for the at least two of the subset of the plurality of flow rate values.

Systems and methods for adjusting a user's circadian rhythm are provided. In some embodiments, a system may be configured to obtain information relating to the user's present circadian rhythm and information relating to one or more anticipated times of sleep and/or wakefulness. The system may generate a model for estimating the user's circadian rhythm. The system may also generate a model for estimating the user's homeostatic sleep drive. Based on one or both models, the system may generate instructions for activating the light source to adjust the user's circadian rhythm.

A processing system includes methods to promote sleep. The system may include a monitor such as a non-contact motion sensor from which sleep information may be determined. User sleep information, such as sleep stages, hypnograms, sleep scores, mind recharge scores and body scores, may be recorded, evaluated and/or displayed for a user. The system may further monitor ambient and/or environmental conditions corresponding to sleep sessions. Sleep advice may be generated based on the sleep information, user queries and/or environmental conditions from one or more sleep sessions. Communicated sleep advice may include content to promote good sleep habits and/or detect risky sleep conditions. In some versions of the system, any one or more of a bedside unit 3000 sensor module, a smart processing device, such as a smart phone or smart device 3002, and network servers may be implemented to perform the methodologies of the system.