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.

The present disclosure is directed to a bedding panel system comprising a bottom or fitted sheet with embedded channels throughout such that at least one or more modular top panels and cushions can be attached to create physical sleep chamber spaces and thus independent “sleep zones” for multiple occupants on a single mattress. A bedding panel system can have dimensions to fit any size mattress. Fitted sheet, modular panels and cushions can include several layered components, each with comfort or utility features for each sleep chamber space. Top and bottom layers of fitted sheet and modular panels may be comprised of various fabrics and materials desirable for sleep comfort. Middle layers of fitted sheet and modular panels can include items such as foam or gel padding, moisture resistant barriers, biometric sensors for measuring physical health and sleep quality, and hardware for heating and cooling. Customized foot panels with specialized materials and electronic components can also be attached to fitted sheet for elevated comfort in the foot box. Bedding panel system components can be embedded with channels, arranged in crisscross and diagonal patterns, containing reinforced holes spaced symmetrically throughout to accommodate different configurations for modular panel and cushion installations. Anchor systems can include a variety of material and hardware combinations to enable ease of component connections, sleep comfort, and convenience of occupant access to sleep zones. Similar to modular panel configurations, anchors allow cushions, pillows, pillow cases and similar headrests designed for the head box section to remain connected to fitted sheet to ensure sleep materials remain intact and in place for the duration of the occupants sleep session.

An apparatus for estimating a core body temperature of an object is provided. The apparatus may include a heat flow sensor configured to measure a first heat flux from an object, a first temperature sensor positioned under a thermal conducting material and configured to measure a surface temperature of the object, a second temperature sensor positioned above the thermal conducting material and configured to measure a surface temperature of the thermal conducting material, and a processor configured to obtain a second heat flux by calibrating the first heat flux based on the surface temperature of the object and the surface temperature of the thermal conducting material, and configured to estimate a core body temperature of the object based on the obtained second heat flux and the surface temperature of the object.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.

A computer system for assessing sound to analyze a user's sleep includes a processor configured to perform operations including: (i) storing sample sound data associated with a plurality of sample sleep events, the sample sound data including a plurality of sample characteristics each respectively associated with at least one sample sleep event of the plurality of sample sleep events; (ii) receiving, from a client device, subject sound data collected during a sleep interval; (iii) analyzing, using a machine learning algorithm, the subject sound data collected during the sleep interval; (iv) identifying, based upon the analyzing, a subject characteristic associated with the subject sound data; (v) comparing the subject characteristic with the plurality of sample characteristics; and (vi) determining, based upon the comparing, whether the subject characteristic substantially matches at least one sample characteristic to identify one or more subject sleep events occurring during the sleep interval.

The present disclosure provides a sleep monitoring garment and a sleep monitoring system. The sleep monitoring garment includes a wearable textile structure; a first monitoring band circumferentially extending along the wearable textile structure; a second monitoring band circumferentially extending along the wearable textile structure and with a distance to the first monitoring band; and an interface communicatively coupled with the first monitoring band and the second monitoring band.

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.

A method includes receiving, from a first sensor, first physiological data associated with a first sleep session of a user. The method also includes receiving, from a sensor, second physiological data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first physiological data. The method also includes determining a second set of sleep-related parameters associated with the first sleep session of the user based at least in part on the second physiological data. The method also includes calibrating the second sensor based at least in part on a comparison between the first set of sleep-related parameters and the second set of sleep-related parameters.

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.