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: 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.