Abstract: Methods, systems, and devices for experimental programs are described. A method includes acquiring baseline PPG data from a user via a wearable device throughout a time interval, and displaying one or more experimental programs via a user device based on the baseline PPG data, where each experimental program is associated with one or more behavioral changes. Upon a selection of an experimental program, the method includes acquiring additional PPG data from the user via the wearable device throughout a time interval of the experimental program. The method includes identifying adherence of the user to a behavioral change of the experimental program based on the additional PPG data and/or information received via the user device. The method further includes displaying, via the user device, changes between the baseline PPG data and the additional PPG data based on identifying the adherence to the behavioral change.

Abstract: Methods, systems, and devices for leveraging data from multiple data sources are described. A method includes receiving physiological data associated with a user from a wearable device and receiving additional data from an external device different from the wearable device, the additional data including at least data associated with characteristics of an environment associated with the user. The method further includes identifying one or more relationships between the collected physiological data and the characteristics of the environment associated with the user, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more relationships, a message associated with the one or more relationships, or both. In some cases, the method includes causing the GUI to display instructions for selectively adjusting the one or more characteristics of the environment associated with the user based on the one or more relationships.

Abstract: Methods, systems, and devices for controlling external devices are described. A method may include receiving physiological data associated with a user from a wearable device, and identifying one or more physiological states, physical activities, or both, associated with the user based on the physiological data. Physiological states may include physiological states associated with waking up, falling asleep, anxiety, relaxation, and the like. The method may further include transmitting an instruction to one or more external devices based on the one or more physiological states, physical activities, or both, where the instruction is configured to selectively modify one or more operational parameters associated with the one or more external devices.

Abstract: Methods, systems, and devices for leveraging data from multiple data sources are described. A method includes receiving physiological data associated with a user from a wearable device and receiving additional data from an external device different from the wearable device, the additional data including at least data associated with characteristics of an environment associated with the user. The method further includes identifying one or more relationships between the collected physiological data and the characteristics of the environment associated with the user, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more relationships, a message associated with the one or more relationships, or both. In some cases, the method includes causing the GUI to display instructions for selectively adjusting the one or more characteristics of the environment associated with the user based on the one or more relationships.

Abstract: Methods, systems, and devices for multiple wearable devices are described. A method may include receiving first physiological data associated with a user from a first wearable device worn at a first position on the user and second physiological data associated with the user from a second wearable device worn at a second position on the user. This method may include determining one or more physiological characteristics associated with the user based on a comparison of the first physiological data and the second physiological data and displaying an indication of the one or more physiological characteristics on a graphical user interface (GUI) of a user device.

Abstract: A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Abstract: A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Abstract: The present invention introduces a method for guiding an optimal stretching time to a user who has a wearable electronic device and a mobile communication device for measuring a set of measurement data comprising activity data of the user. The determination logic, implemented e.g. in a form of a server, takes age and gender into account, and determines a stretching index based on the activity of the user. The optimal stretching time may be alerted, with stretching guidance, to the user. Sleep can be taken into account as well. The system measures whether the actual stretching is done. Sleep is further analyzed, so the effect of the stretching can be monitored and this information can be given back to the user via the mobile communication device. Stretching guides can be updated as well. The wearable electronic device can be a ring device.

Abstract: A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Abstract: A solution for training guidance is provided. A method related to the solution includes acquiring, in a training guidance apparatus, cardiovascular data representing cardiovascular measurement on a user carrying out a physical exercise, wherein the acquired cardiovascular data is real-time data measured during the physical exercise. The method further includes determining exercise guidance attributes from the cardiovascular data with respect to at least one training target of the physical exercise, selecting a video clip matching with the guidance attributes, and causing display of the video clip to the user.