Abstract: The present disclosure generally relates to user interfaces for health monitoring. Exemplary user interfaces for initial setup of health monitoring using a first electronic device and a second electronic device is described. Exemplary user interfaces for recording biometric information for use in health monitoring is described. Exemplary user interfaces for using an input device while recording biometric information for health monitoring is described. Exemplary user interfaces for viewing and managing aspects of health monitoring is described.

Abstract: The present disclosure generally relates to tracking health information and generating related predictions and/or notifications.

Abstract: An example technique may include tracking motion of a user wearing the wearable device using at least first sensors of one or more sensors of the wearable device. The technique may also include tracking a physical state of the user using at least second sensors of the one or more sensors of the wearable device. The technique may also include determining whether an application of the wearable device has been launched. The technique may also include determining an action category of the user based at least in part on at least one of the motion of the user, the physical state of the user, or whether the application has been launched. The technique may also include collecting heartrate data of the user. The technique may also include categorizing the heartrate data based at least in part on the determined action category.

Abstract: Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

Abstract: The present disclosure generally relates to cycle tracking. A notification for a respective recurrence of the recurring event is displayed. Representations of days are displayed with affordances for initiating processes for recording information corresponding to various days.

Abstract: A mechanism for estimating windows for menstrual cycles and fertility. The mechanism tracks menstrual cycles based on accuracy of predictions as compared to user input logging the start and stop of a cycle; this user input and the accuracy of prior cycle predictions is used to improve and update future predictions. Thus, as the mechanism receives additional data, it refines its predicted fertility window and period. A user's heart rate may be used to estimate fertility windows, periods, and other portions of a menstrual cycle.

Abstract: The present disclosure generally relates to cycle tracking. A notification for a respective recurrence of the recurring event is displayed. Representations of days are displayed with affordances for initiating processes for recording information corresponding to various days.

Abstract: Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

Abstract: The present disclosure generally relates to user interfaces for health monitoring. Exemplary user interfaces for initial setup of health monitoring using a first electronic device and a second electronic device is described. Exemplary user interfaces for recording biometric information for use in health monitoring is described. Exemplary user interfaces for using an input device while recording biometric information for health monitoring is described. Exemplary user interfaces for viewing and managing aspects of health monitoring is described.

Abstract: Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for tracking the heartrate of a user using different techniques associated with different contexts. For example, motion of a user wearing a wearable device can be tracked using at least first sensors of the one or more sensors. The physical state of the user can also be tracked using at least second sensors of the one or more sensors. In some cases it can be determines whether an application of the wearable device has been launched. Additionally, an activity category of the user can be determined based at least in part on the motion of the user, the physical state of the user, and/or whether the application has been launched. Heartrate data of the user can be collected, and the heartrate data can be categorized based at least in part on the determined category.

Abstract: The present disclosure generally relates to cycle tracking. A notification for a respective recurrence of the recurring event is displayed. Representations of days are displayed with affordances for initiating processes for recording information corresponding to various days.

Abstract: The present disclosure generally relates to cycle tracking. A notification for a respective recurrence of the recurring event is displayed. Representations of days are displayed with affordances for initiating processes for recording information corresponding to various days.

Abstract: Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for tracking the heartrate of a user using different techniques associated with different contexts. For example, motion of a user wearing a wearable device can be tracked using at least first sensors of the one or more sensors. The physical state of the user can also be tracked using at least second sensors of the one or more sensors. In some cases it can be determines whether an application of the wearable device has been launched. Additionally, an activity category of the user can be determined based at least in part on the motion of the user, the physical state of the user, and/or whether the application has been launched. Heartrate data of the user can be collected, and the heartrate data can be categorized based at least in part on the determined category.