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 determining blood pressure based on morphological features of pulses are described. A system may include a wearable device that uses one or more light emitting components configured to emit light, one or more photodetectors configured to receive light, and a controller that couples the one or more light emitting components to the one or more photodetectors. The wearable device may transmit lights associated with multiple wavelengths, and acquire photoplethysmogram (PPG) data that includes one or more PPG waveforms associated with the respective wavelengths. The system may determine respective sets of morphological features associated with each of the PPG waveforms based on systolic and diastolic peaks corresponding to the heartbeat of the user. The system may determine one or more blood pressure metrics for the user based at least in part on a comparison of the respective sets of morphological features.

Abstract: Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

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 sleep analysis are described. The method may include receiving, at a first application, physiological data associated with a user that is collected via a set of sensors of a wearable device. The method may include receiving, at the first application and from a second application, information indicating a wakeup time restriction for the user. In some cases, the method may include determining, by the first application, a bedtime for the user based on the physiological data and the wakeup time restriction for the user. In some other cases, the method may include identifying, by the first application, sleep staging information for the user while the user is sleeping based on the physiological data, and further include determining a wakeup time for the user based on the sleep staging information and the wakeup time restriction for the user from the second application.

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: Methods, systems, and devices for menstrual cycle onset prediction are described. The method may include receiving physiological data associated with a user from a wearable device, the physiological data including at least temperature data. The method may include fitting the received temperature data to a trigonometric or polynomial function including a plurality of features and calculating a duration between the plurality of features and a corresponding plurality of menstrual cycle onset days. The method may include estimating a future menstrual cycle onset day that the user experiences a first day of a menstrual cycle based on applying the duration to a most recent feature of the trigonometric or polynomial function. In some cases, the method may include causing a graphical user interface of a user device to display an indication of the estimated future menstrual cycle onset day.

Abstract: Methods, systems, and devices for providing guidance during rest and recovery are described. A method may include receiving physiological data associated with a user from a wearable device. The method may include providing, to a user device associated with the user, a first set of physical activity targets and a first set of activity messages based on the received physiological data, where the first set of physical activity targets and the first set of activity messages associated with a first operational mode associated with the user. The method may include identifying a trigger to transition from the first operational mode to a second operational mode associated with the user.