A bed has a mattress. A sensor system is configured to sense at least one physical phenomenon through a sleep session. A controller may include at least one processor and memory, the controller configured to receive, through the sleep session, the sensor data; select, from a plurality of optional algorithms, a selected algorithm based on at least one of the sensor data, user input, and checking a clock, where the optional algorithms include (i) a state-based algorithm and (ii) a schedule-based algorithm; update, through the sleep session, using the selected algorithm, a current sleep state of the sleeper; track the sleep session based on the update of the current sleep state of the sleeper through the sleep session; update, through the sleep session, using the tracking of the sleep session, a target environmental-parameter; and send, through the sleep session, automation instructions to an environmental controller.

The present disclosure pertains to a system configured to enhance deep sleep in a subject during positive airway pressure therapy. A pressure generator is configured to generate a pressurized flow of breathable gas for delivery to an airway of the subject. Sensors are configured to generate output signals conveying information related to breathing of the subject. One or more hardware processors are configured to cause the pressure generator to generate the pressurized flow of breathable gas in accordance with a positive airway pressure therapy regime based on the information in the output signals; determine sleep stages of the subject based on the information in the output signals; and responsive to the sleep stages indicating the subject is in deep sleep, cause the pressure generator to adjust the pressurized flow of breathable gas to deliver a stimulus to the subject, the stimulus configured to enhance deep sleep in the subject.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

An illumination source may be configured to illuminate the skin of the user. An illumination detector may detect electromagnetic radiation reflected of the skin of the user. A compensation module may be configured to determine the position of the skin of the user relative to the illumination detector. A processor may be configured to determine a heart rate of the user by analyzing information corresponding to an amount of the electromagnetic radiation detected by the illumination detector. The processor may also determine the heart rate of the user by compensating for the position of the skin of the user as determined by the compensation module.

A bed includes components to control temperature of a sleep surface, for example based on time and historical usage patterns by a user. In some embodiments the temperature of the sleep surface is controlled based on information indicating a sleep state of the user. In some embodiments the temperature is dynamically adjusted so to achieve particular sleep states and/or sleep patterns for the user. In some embodiments the temperature and timing of temperature adjustments is iteratively adjusted over multiple sleep sessions so to achieve improvements in sleep states and/or sleep quality for the user.

Examples described herein include systems and methods for determining sleep characteristics based on movement data. In one example, a device including at least one accelerometer can be worn by a user during the night. The accelerometer can be configured to detect small motions of the user and provide an output signal. The output signal can be filtered and used to determine whether the user was sleeping during a particular timeframe. The output signal can also be used to determine a sleep characteristic of the sleep, such as light sleep, deep sleep, REM sleep, obstructive apnea, or central apnea.

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

A circadian rhythm entrainment platform can use medication circadian profiles that include mappings of medications to circadian rhythm disruptions and can make conversions of such circadian rhythm disruptions to administrations of light therapy to adjust for the disruptions. The circadian rhythm entrainment platform can specify how to entrain a patient's circadian rhythm using light therapy to compensate for or anticipate side effects of medications and for optimizing medication schedules for a patient's circadian rhythm so as to minimize side effects and increase medication effectiveness. The circadian rhythm entrainment platform can also gather information on the effects of medications on circadian rhythms and interact with patients, medical providers, and other providers in relation to light therapy.

An information processing apparatus includes sound selection means for selecting a sound to be outputted from a sound candidate group, sound output means for outputting the selected sound when an output condition is satisfied, sleep state estimation means for estimating a sleep state of a user based on a result of measurement by a sensor that measures body motion of the user, hours-of-sleep calculation means for calculating hours of sleep of the user based on the estimated sleep state of the user, and addition means for adding a new sound to the sound candidate group based on the calculated hours of sleep of the user.

Multifunctional telemetry apparatus for real-time emergency support comprising biosensors set of electrical biosensors set, green LEDs, red LEDs, infrared LEDs, near infrared LEDs and photodetector set and temperature biosensor, accelerometer, pressure sensor set and wireless antenna, which enables the life-support network to infer and monitor user's present condition through a plurality of real-time biological information, clinical emergency conditions, movement data and events of victimizer unstrapping the apparatus. The embodiments of the multifunctional telemetry apparatus to track emergency situations through analysis of tracking information even in moving conditions or victimizer based emergency situation without active inputs or active involvement from user. Classified clinical emergency and child tracking applications synchronized to the emergency support apparatus, and these applications operated by the life-support having classified trigger commands and tracking information displayed in a manner to help efficiently mitigate emergency risks. The apparatus configured through novel communication means to communicate to life-support network even with no access to standard communication channels.