Abstract: Certain aspects and features of the present disclosure relate to evaluating the sleep performance of a cohort of multiple individuals sleeping in a shared environment (e.g., a single bed, a single room, a set of adjacent rooms, or a single household). Individual or concerted sleep performance scores can be determined, as well as other sleep performance metrics. The evaluation of sleep performance for the entire cohort can be useful when one of the individuals is being treated (e.g., with a respiratory therapy device) for a sleep-related and/or respiratory disorder. Evaluation of the cohort can help identify actions that can be taken to improve the sleep performance of all individuals in the cohort. In some cases, parameters of a user's therapy device are adjusted based on the monitored sleep performance of another individual in the cohort.

Abstract: A system for identifying a body position of a user of a respiratory therapy system includes a sensor, a memory, and a control system. The sensor is configured to generate airflow data associated with the user. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions to receive the airflow data associated with the user during a sleep session. The control system is further configured to determine one or more features associated with the airflow data, and identify the body position of the user during a first portion of the sleep session based at least in part on the determined one or more features. The control system is further configured to cause an action to be performed based at least in part on the identified body position of the user.

Abstract: A system includes a respiratory therapy system, a memory device, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air, and a user interface coupled to the respiratory therapy device via a conduit to direct the pressurized air to an airway of a user. The memory device stores machine-readable instructions. The control system includes a processor(s) to execute the machine-readable instructions to: generate data, during a current sleep session, associated with a user of a respiratory therapy system; analyze the generated data to determine a value of a first metric that is associated with a sleep disordered breathing (SDB) condition; analyze the generated data to determine a value of a second metric that is associated with a health condition other than the SDB condition; and based at least in part on the determined value of the second metric, cause an action to be performed.

Abstract: A method includes receiving a first value for each of a plurality of parameters, each of the first values being associated with a user and a first day. The method also includes receiving a second value for each of the plurality of parameters, each of the second values being associated with the user and a second day that is subsequent to the first day. The method also includes determining, for each of the plurality of parameters, a trend indication. The method also includes determining a base weight value for each of the plurality of parameters and multiple pairs of the plurality of parameters. The method also includes causing a message to be communicated to the user that is based at least in part on the determined base weight values.

Abstract: A method for generating one or more custom messages for a user to aid in encouraging a behavioral response includes receiving physiological data associated with a user during a first time period, the first time period including at least one sleep session. The method further includes determining a first parameter associated with the user based on a first portion of the physiological data. The method further includes determining a second parameter associated with the user based on a second portion of the physiological data. The method further includes generating a custom message based on the determined first parameter and the determined second parameter to aid in encouraging a behavioral response, the custom message including information associated with the determined first parameter and information associated with the determined second parameter. The method further includes causing the custom message to be communicated to the user.

Abstract: Systems and methods for generating and presenting a multi-component health score are disclosed. The health score can be generated from a set of weighted component scores each associated with a particular component being evaluated. Each component score can be generated based on a combination of first physiological data collected during a sleep session, second physiological data collected during a duration adjacent a sleep session, and subjected feedback data associated with the sleep session. Dynamic adjustments of weightings and presentation in a format indicating the contribution of each component to the total health score can facilitate good habits and healthy practices.

Abstract: According to an aspect, there is provided a computer-implemented method for determining a heart rate of a subject, the method comprising: receiving data representing a signal generated by a pressure sensor configured to be placed on a suprasternal notch of a subject, the data representing a first component of the signal comprising respiratory information associated with the subject and/or a second component of the signal comprising cardiac information associated with the subject; determining, by applying a first algorithm to the data, a respiration parameter of the subject; applying at least one filter to the data to obtain first filtered data, the at least one filter comprising a first filter to attenuate the first component of the signal in the data based on the determined respiration parameter; and determining a heart rate of the subject by applying a second algorithm to the first filtered data.

Abstract: Detection of unintentional air leaks in a user interface (e.g., mask) of a respiratory therapy system (e.g., a positive air pressure device) is disclosed. One or more sensors (e.g., within a computing device, such as a smartphone) can be moved around relative to the user interface to determine a location and/or intensity of an air leak. The computing device can provide feedback regarding the location and/or intensity of the air leak to facilitate the user locating the air leak, and thus correcting the air leak. In some cases, augmented reality annotations can be overlaid on an image (e.g., live image) of the user wearing the user interface to identify the location of the air leak. The system can automatically detect the type of user interface being used and can provide tailored guidance for reducing the air leaks.