Methods, systems, and devices for identifying irregular cycles, polycystic ovary syndrome (PCOS), and endometriosis based on wearable-based physiological data are described. A system may be configured to receive physiological data associated with a user collected via a wearable device, the physiological data collected throughout at least a portion of a menstrual cycle for the user. The system may be configured to determine a time series of a plurality of physiological measurements based on the physiological data, and identify that the physiological measurements deviate from a baseline measurements associated with the user, other users, or both. The system may then identify one or more risk metrics associated with relative probabilities that the user is experiencing PCOS, endometriosis, or both, and may generate a message for display on a graphical user interface (GUI) on a user device that indicates information associated with the one or more risk metrics.

Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO.sub.2) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.

A method, process, or software package configured to receive user inputs related to health, calculate a diagnosis based upon user inputs and historical data, calculate a treatment plan based upon user inputs and historical data, and present the diagnosis and a treatment plan to the user via a graphical user interface.

An electronic system for determining a time of the temperature nadir of a female human during the menstrual cycle comprises a wearable device (1) that includes a first sensor system (104), configured to determine a temperature of the female human, and a second sensor system (101, 102, 103), configured to determine one or more further physiological parameters of the female human. The electronic system further comprises a processor (13, 30, 40), configured to determine a detected starting point of the fertility phase of the female human, using the one or more further physiological parameters of the female human. The processor (13, 30, 40) is further configured to detect the temperature nadir as a temporary decrease in the temperature, using the detected starting point of the fertility phase of the female human. The time of the temperature nadir is used as an indicator of the time of ovulation and peak oestrogen level.

The invention is related to a system and method for determining a physiological condition. The system includes a processor configured to receive, from a first sensor, skin temperature measurements during a first period of time, wherein the first sensor is detachably and thermally coupleable to a user's skin, receive from a second sensor, measurements of ambient temperature during the first period of time, adjust the skin temperature measurements received from the first sensor using the ambient temperature measurements received from the second sensor to reduce ambient influence, receive one or more stored temperature measurements measured for at least a second time period, calculate representative temperature information for the first period of time based on the adjust skin temperature measurements from the first period of time and stored temperature measurements and display the representative temperature information.

An object is to provide programs for reliable predictions of the day of ovulation. A process is executed in a program for predicting a day of ovulation on a computer, the process including calculating a predicted ovulation day data corresponding to a particular menstrual cycle by applying the particular menstrual cycle to a relationship between a period between a menstrual day and a day of ovulation and an average length of a menstrual cycle, the relationship being estimated based on data of a plurality of persons which have been previously obtained.

An electronic system for determining a fertility phase of a female human comprises a wearable device (1) that includes a first sensor system (101), configured to determine heart rate and heart rate variability of the female human, and a second sensor system (102), configured to determine acceleration of the female human. The electronic system further comprises a processor (13, 30), configured to detect during menstrual cycles sleep phases with resting pulse, using the heart rate variability and the acceleration, to determine a change in the resting pulse during a menstrual cycle using the heart rate, and to determine the fertility phase using a time of the change in the resting pulse. The processor for determining the fertility phase is implemented in the wearable device (1), in a mobile communication device (4), and/or in a cloud-based computer system (3).

A method for determining a fertility period for a female human individual (FU), carried out in a device comprising a controller, a non-invasive heart sensor placed in contact or opposite to a portion of the skin of the individual, during the sleep of the individual, the heart sensor being configured to sense heart pulses of the individual and the controller being configured to determine the heart rate, the method comprising the following steps: /a/ collecting, at the sensor, heart pulses signals of the individual; /b/ extracting therefrom, at the controller, current heart rate during a night; /c/ calculating a minimal sleep heart rate denoted MSHR(i), over the night; /d/ comparing MSHR(i) with values of MSHR(k) recorded previously, and/or comparing MSHR(i) with a long term average of the minimal sleep heart rate values denoted LTHR; /e/ deducing therefrom a current ovulation probability index, according to a predefined criteria; /f/ if the ovulation probability index is higher than a predefined threshold denoted PTH, notify the individual with a fertility time window.

A method for determining a fertility period for a female human individual (FU), carried out in a device comprising a controller, a non-invasive heart sensor placed in contact or opposite to a portion of the skin of the individual, during the sleep of the individual, the heart sensor being configured to sense heart pulses of the individual and the controller being configured to determine the heart rate, the method comprising the following steps: /a/ collecting, at the sensor, heart pulses signals of the individual; /b/ extracting therefrom, at the controller, current heart rate during a night; /c/ calculating a minimal sleep heart rate denoted MSHR(i), over the night; /d/ comparing MSHR(i) with values of MSHR(k) recorded previously, and/or comparing MSHR(i) with a long term average of the minimal sleep heart rate values denoted LTHR; /e/ deducing therefrom a current ovulation probability index, according to a predefined criteria; /f/ if the ovulation probability index is higher than a predefined threshold denoted PTH, notify the individual with a fertility time window.

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.