20240074739.Menstrual Cycle Tracking Using Temperature Measurements simplified abstract (apple inc.)
Menstrual Cycle Tracking Using Temperature Measurements
Organization Name
Inventor(s)
Shunan Zhang of Mountain View CA (US)
Christine L. Curry of Sunnyvale CA (US)
Carey Y. Zhang of Sunnyvale CA (US)
Jihyun Park of Sunnyvale CA (US)
Menstrual Cycle Tracking Using Temperature Measurements - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240074739 titled 'Menstrual Cycle Tracking Using Temperature Measurements
Simplified Explanation
The patent application is about a system and method for tracking menstrual cycles using temperature data to determine ovulation dates.
- Obtaining temperature data from an electronic device
- Determining probability of ovulation based on temperature data
- Estimating ovulation date using probabilities
- Displaying estimated ovulation date on electronic device
Potential Applications
This technology can be applied in:
- Fertility tracking apps
- Women's health monitoring devices
Problems Solved
- Difficulty in accurately predicting ovulation dates
- Lack of convenient and reliable menstrual cycle tracking methods
Benefits
- Helps users plan for conception or contraception
- Provides insights into menstrual cycle patterns
Potential Commercial Applications
Optimizing Women's Health: Using Temperature Data for Menstrual Cycle Tracking
Possible Prior Art
One possible prior art could be traditional methods of tracking menstrual cycles, such as using calendars or physical symptoms to predict ovulation dates.
Unanswered Questions
How accurate is the system in predicting ovulation dates?
The accuracy of the system in predicting ovulation dates based on temperature data is not specified in the abstract.
Is the system compatible with all electronic devices?
The abstract does not mention the compatibility of the system with different types of electronic devices.
Original Abstract Submitted
embodiments are directed to systems and methods for tracking menstrual cycles of a user. embodiments can include obtaining a first set of temperature data at an electronic device, and in response to the first set of temperature data satisfying a first criteria, determining a first probability that ovulation occurred during a first time period using the first set of temperature data. in response to the first probability meeting a second criteria, embodiments can include determining a second set of probabilities comprising a probability that ovulation occurred for each day of a first set of days within the first time period. an estimated ovulation date can be determined using the second set of probabilities, and an electronic device can display an output indicating the estimated ovulation date.
