A method for profiling sleep of an individual is provided. The method includes defining a sleep feature space for the individual, measuring a brain wave for the individual during the individual's sleep, and mapping the sleep feature space in response to a comparison of the brain wave and a previous brain wave measurement used to define the sleep feature space. The brain wave may comprise a brain wave spectrum. The sleep feature space may comprise, or be composed of, spectral power and envelope measures. The method also includes modelling the mapped sleep feature space in response to recognized neural network patterns corresponding to each of a plurality of sleep stages derived from recognizing the neural network patterns from the sleep feature space and deriving a sleep profile for the individual from sleep stages determined in response to the modelled mapped sleep feature space and the brain wave of the individual.

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.

Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.

A measurement device includes a light emitting element configured to irradiate a blood vessel of a subject with light, a light receiving element configured to output an optical signal from the subject as an electric signal, and a controller electrically connected to the light receiving element. The controller estimates a heart rate of the subject on the basis of a part of a plurality of frequency components included in output of the light receiving element.

A bed has a mattress to support a user laying on the bed. A first balistocardiograph (BCG) sensor is configured to collect first-BCG data from a first location of the user laying on the bed due to pressure applied to the bed by the user. A second BCG sensor is configured to collect second-BCG data from a second location of the user. A computer-system may include a process and memory, the computer-system configured to: receive the first BCG-data and the second-BCG data and determine one or more blood-pressure (BP) values for the user.

An adjustable alarm indicator of an alarm application is described. The adjustable alarm indicator may be presented in connection with an alarm setting sequence. The adjustable alarm indicator may include a variable element having a variable annular shape, a first element associated with a first end of the variable element, and a second element associated with a second end of the variable element. The first element may be independently moveable to adjust the size of the variable element. The second element may be dependently moveable to cause the first element, the second element, and the variable element to move.

An intraoral monitoring device includes a plurality of sensors integrated on a flexible substrate. The plurality of sensors includes first and second photoplethysmography (PPG) sensors. The first PPG sensor is coupled along an anterior portion of the flexible substrate and adapted to be located intraorally along a first anatomical location defined along a mid-line of a maxilla, facing the labial mucosa, directly at a septal branch of a superior labial artery in a front lip to consistently provide a plurality of first PPG signal, relating to a plurality of cardiorespiratory parameters. Further, the second PPG sensor is coupled to a rear portion of the flexible substrate, adapted to be located intraorally along a second anatomical location defined along the interior part of an oral cavity facing outward toward the labial mucosa to consistently provide a plurality of second PPG signals, relating to a plurality of muscular parameters.

A student engagement device, system and method is provided that encourages students to maintain student engagement during a classroom activity or lecture. The device may be worn by the student and include a display that displays signals received from a remote controller. The signals are generated in the remote control based on subjective observation from the teacher related to student to engagement and may be irrespective of student behavior. The system may further include a computer device accessible by the student or parent for viewing student engagement levels during a class or over a longer length of time, such as a week, month, semester, or year.

Devices and systems provide methods of controlling breathable gas generation such as for a respiratory treatment and/or for controlling ionization of the gas. In an example, a controller of a respiratory treatment apparatus controls generation of a supply of ionized air. The apparatus may include a flow generator to generate a flow of pressurized breathable gas. The flow generator may be adapted for connection with a respiratory interface. The apparatus may also include an ionizer to ionize the flow of gas. The controller may be coupled with the ionizer and the flow generator and be configured to control the ionizer to programmatically change levels of ionization of the gas. Such ionized gas treatments may be suitable for helping users to sleep or improving respiratory oxygen absorption, and may be for patients with, for example, sleep disordered breathing or chronic obstructive pulmonary disease.

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.