Physiological parameters such as respiratory rate and/or heart rate variability can be measured over time for a user and correlated to physiological and/or hormonal cycles such as the menstrual cycle. By determining the phase of such a cycle in this manner, an automatic coach for the user can recommend phase-specific adjustments to activities such as sleep and exercise.

Methods, systems, and devices for pregnancy detection are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days. The system may then identify temperature elevations in the time series of the temperature values relative to a temperature baseline for the user and detect an indication of a pregnancy of the user based on the identified temperature elevations. The indication of the pregnancy may be detectable from the identified temperature elevations prior to being detectable from a threshold increase in hormone elevations relative to a hormone baseline of the user. The system may cause the graphical user interface to display the detected indication of the pregnancy.

Methods, systems, and devices for miscarriage identification are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then identify that the temperature values are lower than a pregnancy baseline of temperature values for the user and detect an indication of an early pregnancy loss of the user. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the early pregnancy loss.

Methods, systems, and devices for pregnancy complication identification and prediction are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then identify that the temperature values deviate from a pregnancy baseline of temperature values for the user and detect an indication of one or more pregnancy complications of the user. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the one or more pregnancy complications.

Methods, systems, and devices for a pregnancy mode configuration are described. In some cases, the system may receive physiological data associated with a user from a wearable device and provide a first set of targets associated with one or more physiological metrics and a first set of messages associated with the one or more physiological metrics based on the received physiological data. The system may receive an indication of the user being pregnant. In some cases, the system may identify a trigger to transition from the first operational mode to a second operational mode of the application based on receiving the indication. The system may provide a second set of targets associated with the one or more physiological metrics and a second set of messages associated with the one or more physiological metrics that are adjusted for pregnancy based on the second operational mode.

Methods, systems, and devices for anovulatory cycle detection are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days where the time series includes a plurality of ovulatory cycles for the user. The system may then identify the plurality of ovulatory cycles based on positive slopes in the time series and identify an indication of an anovulatory cycle based on deviations in the time series. The system may generate a message for display on a graphical user interface on a user device that indicates the indication of the identified anovulatory cycle.

Methods, systems, and devices for fertility prediction are described. A system may be configured to receive physiological data collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values taken over the plurality of days where the time series includes a plurality of menstrual cycles. The system may then determine a plurality of menstrual cycle length parameters associated with the menstrual cycles and determine a user fertility prediction based on the menstrual cycle length parameters. The system may generate a message for display on a graphical user interface that indicates the determined user fertility prediction.

Methods, systems, and devices for labor onset and birth identification and prediction are described. A system may be configured to receive physiological data associated with a user that is pregnant and collected over a plurality of days, where the physiological data includes at least temperature data. Additionally, the system may be configured to determine a time series of temperature values. The system may then calculate a pregnancy baseline temperature slope for the user and identify that the temperature slope deviates from the pregnancy baseline temperature slope for the user. The system may detect an indication of a labor onset of the user and generate a message for display on a graphical user interface on a user device that indicates the indication of the labor onset.

A method and system for managing animal data are disclosed. The system for managing animal data includes: a sensor inserted into the body of an animal or attached to the outside of the animal's body to provide an identifier of the animal; a first reader installed at a start portion of a passage through which the animal passes to receive the identifier of the animal from the sensor inserted into or attached to the animal when the animal moves past the start portion or the first reader and to identify a first time of receipt of the identifier; a second reader installed at an end portion of the passage to receive the identifier of the animal from the sensor inserted into or attached to the animal when the animal moves past the end portion or the second reader and to identify a second time of receipt of the identifier; and a management server that receives the identifier and the first time of receipt from the first reader, receives the identifier and the second time of receipt from the second reader, calculates the speed of movement of the animal matching the identifier, and predicting whether the animal matching the identifier is in estrus or not, based on the calculated speed of movement.

The present disclosure, in certain embodiments, relates to a flexible and non-absorbent vaginal insert device that is easier to insert and remove and is for use in improving and preventing symptoms associated with pelvic organ prolapse and urinary and/or fecal incontinence when the device is inserted. In certain embodiments, the device has an optionally cone-shaped upper portion that provides pelvic organ support and a removal portion or stem that facilitates insertion and removal of the device.