Ovulation determination

1. A method of using a temperature sensor and a reader device for determining the fertility status of a female, the method comprising:

generating with the temperature sensor a continuous series of temperature data points relating to a body temperature of the female during night and day and continuously over a plurality of days, wherein the continuous series of temperature data points is continuously recorded in a memory device;

transmitting the recorded continuous series of temperature data points from the memory device to the reader device;

analysing the continuous series of temperature data points on the reader device, wherein the analysing comprises comparing the continuous series of temperature data points to pattern analysis criteria to determine a pattern of temperature data points in the continuous series of temperature data points;

identifying if the continuous series of temperature data points comprises a pattern indicative of at least one pre-determined feature in the continuous series of temperature data points based on the comparison of the continuous series of temperature data points to pattern analysis criteria; and

if a pattern indicative of a pre-determined feature has been identified, determining a point in time of ovulation for the continuous series of temperatures based on a pre-determined relation of the pre-determined feature and ovulation, wherein the pre-determined feature comprises at least one of a temperature-stress-indicator, a number of peaks, a sequence of peaks, a combination of at least one of increases and decreases of temperatures, or any combination thereof within a first time interval.

2. The method of claim 1 , wherein the body temperature is a body core temperature measured in the vaginal channel of the female and the continuous series of temperature data points relate to the body core temperature.

3. The method of claim 1 , wherein the determining and recording the continuous series of temperature data points comprises measuring a temperature data in intervals of every 10 minutes or less and storing data relating to the temperature value in a memory.

4. The method of claim 3 , wherein the determining and recording the continuous series of temperature data points comprises measuring the temperature data in intervals of every 10 minutes or less continuously over at least 24 hours.

5. The method of claim 1 , wherein the determining and recording the series of temperature data points comprises measuring temperature data with a temperature sensor and a data memory in a pessary placed in the vaginal channel of the female.

6. The method of claim 1 , wherein the pre-determined feature is present in a plurality of previously recorded menstrual cycles of the female.

7. The method of claim 1 , wherein the pre-determined feature is present in a plurality menstrual cycles of a plurality of females.

8. The method of claim 1 , wherein the pre-determined feature is present in a follicular phase of a plurality of menstrual cycles.

9. The method of claim 1 , further comprising:

determining a homogeneity of a plurality of temperature curves and determining if the homogeneity has a break in the homogeneity,

if a break in the homogeneity has been determined, identifying a probability for ovulation and determining how the probability for ovulation corresponds to the determined point in time of ovulation.

10. The method of claim 9 , wherein the plurality of temperature curves is recorded from the female.

11. A method of using a temperature sensor and a reader device for determining the fertility status of a female, the method comprising:

Generating with the temperature sensor a continuous series of temperature data points relating to a body temperature of the female during night and day and continuously over a plurality of days, wherein the continuous series of temperature data points is continuously recorded in a memory device;

transmitting the recorded continuous series of temperature data points from the memory device to the reader device;

analysing the continuous series of temperature data points on the reader device, wherein the analysing comprises comparing the continuous series of temperature data points to pattern analysis criteria to determine a pattern of temperature data points in the continuous series of temperature data points;

identifying if the continuous series of temperature data points comprises a pattern indicative of at least one pre-determined feature in the continuous series of temperature data points based on the comparison of the continuous series of temperature data points to pattern analysis criteria; and

if a pattern indicative of a pre-determined feature has been identified, determining a point in time of ovulation for the continuous series of temperatures based on a pre-determined relation of the pre-determined feature and ovulation, wherein the pre-determined feature is based on relative changes in the series of temperature data points that are a biomarker representing a change in the fertility status.