Vaginal Temperature Sensor Ovulation Prediction

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Solution Overview

Problem

Current methods for determining female fertility, such as basal body temperature measurement, are unreliable and inconvenient, often influenced by external factors and lifestyle variations, lacking a precise and cost-effective way to predict ovulation.

Innovation Solution

A method involving continuous measurement of body core temperature using a vaginal temperature sensor, analyzing temperature data points for homogeneity and patterns to identify a break or specific features, providing a reliable prediction of ovulation and fertility window.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If continuous temperature measurement is performed throughout the day, then measurement precision and reliability are improved, but ease of operation deteriorates due to the need for constant monitoring

Engineering Contradiction:
Improvetemperature measurement precisionVSAvoidease of temperature measurement
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically performs continuous temperature measurements and analysis without requiring user intervention. The female user simply wears the sensor device, which autonomously collects temperature data throughout the day, analyzes the data patterns, and provides ovulation predictions, eliminating the need for manual measurement operations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual basal body temperature measurement methods with an automated electronic temperature sensing system. The mechanical act of taking temperature measurements is substituted by an electronic sensor that continuously monitors temperature and uses algorithmic analysis to determine ovulation timing.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If multiple temperature data points are collected and analyzed for patterns, then reliability of ovulation determination is improved, but device complexity increases

Engineering Contradiction:
Improvereliability of ovulation determinationVSAvoidcomplexity of temperature analysis system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system collects and stores multiple temperature data points continuously throughout the menstrual cycle before making an ovulation determination. By gathering sufficient data in advance and analyzing temperature patterns and breaks, the system ensures reliable results before providing the ovulation prediction, rather than attempting to determine ovulation with insufficient data.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If continuous temperature monitoring is implemented, then productivity of fertility assessment is improved, but loss of time for data collection increases

Engineering Contradiction:
Improveefficiency of fertility assessmentVSAvoidtime for temperature data collection
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The temperature monitoring operates continuously without interruption throughout the menstrual cycle, collecting data at all times rather than only at specific intervals. This continuous useful action ensures that temperature breaks and patterns are captured completely, enabling accurate ovulation prediction while efficiently utilizing the measurement period.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentEP3048984B1Ovulation determination
Publication Date: 2021.08.04 VIVOSENSMEDICAL
  • EP3048984B1 patent drawingFigure 1a~1c
  • EP3048984B1 patent drawingFigure 2a~2b
  • EP3048984B1 patent drawingFigure 3

AI summary

The present disclosure relates to a method and a system for determining the fertility status of a female. The method comprises the steps of determining and recording a continuous series of temperature data points relating to a body temperature of the female, identifying if the series of temperature data points comprises at least one pre-determined feature in the series of temperature data points and, if a pre-determined feature has been identified, determining a point in time of ovulation for the series of temperatures based on a pre-determined relation of the pre-determined feature and ovulation.