A vaginal device configured to be inserted in a vagina of a user, the vaginal device comprising: a body comprising at least two electrodes configured to measure a fertility-related parameter of the user; a power source configured to provide power to the device; and an electrical system operably connected to the power source, the electrical system operably connected to one or more of the electrodes, the electrical system configured to switch one or more of the electrodes between charging and measuring functions.

A method for determining for a female a time interval for using contraception is disclosed, the method comprising receiving in a processor (11), from a sensor system (22) of a wearable device (2) of the female, physiological data of the female, generating cycle phase probabilities of the female being in one or more cycle phases of her menstrual cycle on a given day, by use of a machine learning model and the physiological data, determining the time interval for using contraception using the physiological data, the cycle phase probabilities, and pre-determined cycle phase probability thresholds, and generating a message for the female comprising the time interval for using contraception.

The disclosure relates to a method and a system for determining the fertility status of a female and/or the status of a biomarker in a mammal or human being. A method the method comprises determining, for a plurality of first time intervals, a continuous series of temperature data points relating to a body temperature. The method further comprises determining, in the series of data points, for each one of one of the plurality of first time intervals, a difference between a temperature maximum and a temperature minimum to obtain a plurality of temperature amplitudes. A series of temperature amplitudes is determined from the plurality of temperature amplitudes and determining if a first portion of the series of temperature amplitudes varies from a second portion of the series of temperature amplitudes, the variation indicating a change in the status of the biomarker.

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.

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.