Heart Rate Variability Analysis for Ovulation Prediction
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Solution Overview
Problem
Existing methods for tracking fertile periods, such as basal body temperature thermometers and LH testing kits, require strict daily protocols and specific timing, which can be burdensome and may lead to deviations, reducing reliability and posing privacy issues.
Innovation Solution
A system using a sensor to obtain heart signals, processing units to extract heart rate variability features, and evaluation units to predict ovulation likelihood, allowing for unobtrusive and automated tracking of fertility windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If strict daily protocols with specific timing are used for BBT and LH measurements, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically performs measurements and analysis without requiring user intervention. The electronic device autonomously monitors physiological parameters, processes data, and generates fertility predictions, eliminating the need for manual protocol execution while maintaining measurement precision
Solution Approach 2:
Manual measurement protocols are replaced with automated electronic sensing and processing systems. The mechanical act of manual temperature measurement or urine testing is substituted with electronic sensors and algorithms that continuously monitor and analyze physiological data
2Measurement precision
If strict daily protocols with specific timing are used for BBT and LH measurements, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The system automatically performs measurements and analysis without requiring user intervention. The electronic device autonomously monitors physiological parameters, processes data, and generates fertility predictions, eliminating the need for manual protocol execution while maintaining measurement precision
Solution Approach 2:
The electronic device integrates multiple functions including sensing, processing, storage, and prediction into a single system. It can monitor various physiological parameters simultaneously and provides comprehensive fertility tracking without requiring separate devices or procedures
3Ease of operation
If automated measurement is implemented, then ease of operation is improved, but measurement precision may worsen
Solution Approach 1:
The system continuously monitors physiological parameters and uses feedback from multiple measurements to refine predictions. The evaluation unit analyzes trends and patterns over time, adjusting predictions based on accumulated data to maintain high precision while operating automatically
Solution Approach 2:
The system performs preliminary data collection and analysis over extended periods to establish baseline patterns and improve prediction accuracy. By gathering data in advance and analyzing trends before making predictions, the system ensures precision is maintained throughout automated operation
Data Source
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AI summary
The present invention relates to a system for unobtrusive fertility tracking, comprising a sensor for obtaining a heart signal, a processing unit configured to determine a subject's heart rate from the heart signal, and an evaluation unit configured to analyze the subject's heart rate to predict likelihood of ovulation. The processing unit is further configured to extract heart rate variability features from the heart signal, and the evaluation unit is further configured to predict likelihood of ovulation based on the heart rate variability features.