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.

The device and method for calculating and displaying to a user a predicted fertility window, start and end date, and conception planning guide for the user is presented. The device and method include a vaginal sensor device having a plurality of sensors to collect measurements related to vaginal and cervical parameters that are important to the conception cycle. The device and method are customized for an individual user through the input by a user of menstrual cycle timing and duration, ovulation data, temperature data, and other data that are personal to the user. The system utilizes all collected sensor measurements, input user data, and historical data to provide a predicted fertility window, including predicted start and end dates, for the user.

Embodiments are directed to systems and techniques for tracking menstrual cycles, which can include receiving temperature measurements from an array of temperature sensors positioned on a bed. A use period for the array can be determined when temperature measurements from at least one temperature sensor of the one or more temperature sensors exceed a first temperature threshold. In some embodiments, for each use period in a set of two or more use periods, a temperature of the user using the set of temperatures from the respective use period can be determined. After determining the temperature of the user for each use period in the set of two or more use periods, at least one change in the temperature of the user between different use periods can be identified. An ovulation day of the user based on the at least one change in the temperature of the user can be estimated.

It is an object of the present invention to enable prediction of a menstrual date while preventing a decrease in the accuracy of the prediction, even if there is a large variation among menstrual cycles. An information processing device determines a threshold value used to predict a menstrual cycle, based on the result of a comparison between a base cycle and a representative value of a plurality of reference cycles modified based on each of a plurality of candidate threshold values for an outlier. Alternatively, the information processing device removes a first outlier identified based on a first threshold value from among a plurality of past menstrual cycles, changes a second outlier based on a second threshold value to a length corresponding to a second threshold value, and then predicts the length of a menstrual cycle.

There are described herein methods and apparatus for processing a physical signal, in particular for processing data obtained in relation to the physical characteristics of a user, in particular a female user. One or more sensors can be used to obtain the data, in particular indwelling thermometers, aural thermometers, blood pressure and heart rate monitors. There are also described herein methods and apparatus for analysing and further processing the data to obtain and provide health information in relation to the user, in particular in relation to the user's fertility or state of ovulation.

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.

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.

An object is to prevent of display of display of candidates unlikely to be selected. An information processing device a target date associated with an input value to be input. The information processing device displays candidates for an input value on a screen. At this time, the information processing device displays a first number of candidates when the target date is included in a first period during which the information changes in a first range. The information processing device displays a second number of candidates that is smaller than the first number when the target date is included in a second period during which the information changes in a second range that is narrower than the first range. The first period and the second period is included in a cycle in which the information changes.

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.