Abstract: Triggering information that defines conditions for presenting a virtual clinical exam may be downloaded to a user device. A server computer may receive sensor data and use the sensor data to evaluate the conditions. When certain conditions are fulfilled, the server computer provides the conditions to the user device for use by the user device in triggering presentation of the virtual clinical exam at the user device.

Abstract: Introduced here are health management platforms able to monitor changes in the health state of a subject based on the context of digital activities performed by, or involving, the subject. Initially, a health management platform can identify a physiological response by examining physiological data associated with a subject. Then, the health management platform can identify a stimulus presented by an electronic device that provoked the physiological response by examining contextual data associated with the subject. The contextual data may be in the form of a screenshot of a computer program in use by the subject during the physiological response. In some embodiments, the health management platform prompts the subject to specify whether the physiological response is a positive physiological response that resulted in an upward shift in health or a negative physiological response that resulted in a downward shift in health.

Abstract: Triggering information that defines conditions for presenting a virtual clinical exam may be downloaded to a user device. The user device may collect sensor data and use the sensor data to evaluate the conditions. When certain conditions are fulfilled, the user device may present the virtual clinical exam at the user device.

Abstract: A user device may machine segment sensor measurements by determining a context window. The context window may include a beginning and an end. The context window may be used to define the time period in which measurements of the sensor measurements are to be segmented.

Abstract: A user device may automatically identify activities that correspond to virtual motor exam tasks and clinical tasks and auto annotate sensor data based on previous annotations and machine-learning models trained using the same. The annotations may describe context, performance, subjective, and objective information related to the performance of the activity for tracking disease or treatment progression.

Abstract: Introduced here are health management platforms able to monitor changes in the health state of a subject based on the context of digital activities performed by, or involving, the subject. Initially, a health management platform can identify a physiological response by examining physiological data associated with a subject. Then, the health management platform can identify a stimulus presented by an electronic device that provoked the physiological response by examining contextual data associated with the subject. The contextual data may be in the form of a screenshot of a computer program in use by the subject during the physiological response. In some embodiments, the health management platform prompts the subject to specify whether the physiological response is a positive physiological response that resulted in an upward shift in health or a negative physiological response that resulted in a downward shift in health.

Abstract: Triggering information that defines conditions for presenting a virtual clinical exam may be downloaded to a user device. The user device may collect sensor data and use the sensor data to evaluate the conditions. When certain conditions are fulfilled, the user device may present the virtual clinical exam at the user device.