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In women, ovulation causes a sustained increase of at least 0.2 °C (0.4 °F) in BBT. Monitoring BBTs is one way of estimating the day of ovulation. The tendency of a woman to have lower temperatures before ovulation, and higher temperatures afterwards, is known as a biphasic temperature pattern.
Just a slight increase in basal body temperature indicates one is ovulating. “A rise of 0.5 degrees Fahrenheit can detect when you are going to ovulate,” she says.
The true BBT can only be obtained by continuous temperature monitoring through internally worn temperature sensors. In women, ovulation will trigger a rise in BBT between 0.2º and 0.5 °C. (0.5 and 1.°F) that lasts approximately until the next menstruation. This temperature shift may be used to determine the onset of post-ovulatory infertility.
Ovulation is an important part of the menstrual cycle in female vertebrates where the egg cells are released from the ovaries as part of the ovarian cycle. In female humans ovulation typically occurs near the midpoint in the menstrual cycle and after the follicular phase. Ovulation is stimulated by an increase in luteinizing hormone (LH).
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Basal body temperature changes during the menstrual cycle. Higher levels of progesterone released during the menstrual cycle causes an abrupt increase in basal body temperature by 0.5 °C to 1 °C at the time of ovulation. [7] This enables identification of the fertile window through the use of commercial thermometers.
Ovulation occurs ~35 hours after the beginning of the LH surge or ~10 hours following the LH surge. Several days after ovulation, the increasing amount of estrogen produced by the corpus luteum may cause one or two days of fertile cervical mucus, lower basal body temperatures, or both. This is known as a "secondary estrogen surge".
In a reference group representing all women, the 95% prediction interval of the LMP-to-ovulation is 8.2 to 20.5 days. [30] The average time to birth has been estimated to be 268 days (38 weeks and two days) from ovulation, with a standard deviation of 10 days or coefficient of variation of 3.7%. [32]
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