Abstract: Methods, systems, and devices for atrial fibrillation (AFib) detection are described. A method may include acquiring physiological data collected from a user via a wearable ring device, the physiological data including temperature data and motion data, and identifying that a measurement trigger condition for AFib has been satisfied based on the temperature data satisfying a temperature threshold and the motion data satisfying a motion threshold. The method may include sampling photoplethysmogram (PPG) data for the user via the wearable ring device based on identifying satisfaction of the measurement trigger condition, and classifying one or more AFib states based on the sampled PPG data. The method may further include causing a GUI of a user device to display an indication of the one or more AFib states.

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 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 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 operating a user device are described. A user device may collect objective data for a user and determine a score for the user based on the objective data. After calculating the score, the user device may use subjective data from the user to update the score. The user device may also use the subjective data to adjust the weighting of one or more of the score-contributing factors used to determine the score.

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: Methods, systems, and devices for atrial fibrillation (AFib) detection are described. A method may include acquiring physiological data collected from a user via a wearable ring device, the physiological data including temperature data and motion data, and identifying that a measurement trigger condition for AFib has been satisfied based on the temperature data satisfying a temperature threshold and the motion data satisfying a motion threshold. The method may include sampling photoplethysmogram (PPG) data for the user via the wearable ring device based on identifying satisfaction of the measurement trigger condition, and classifying one or more AFib states based on the sampled PPG data. The method may further include causing a GUI of a user device to display an indication of the one or more AFib states.

Abstract: Methods, systems, and devices for menopause detection and treatment are described. A system may be configured to receive physiological data associated with a user from a wearable device, and identify one or more physiological indications of a hot flash experienced by the user based on the physiological data satisfying one or more thresholds. Additionally, the system may be configured to determine a metabolic efficiency metric associated with the user based on the received physiological data, and determine a menopause metric for the user based on the metabolic efficiency metric, where the menopause metric is associated with a relative probability that the user will experience menopausal symptoms. The system may then cause a graphical user interface (GUI) of a user device to display information associated with the identified hot flash and/or one or more messages associated with the menopause metric.