Wearable Ovulation Prediction Using Activity Pattern Monitoring
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Solution Overview
Problem
Existing non-invasive methods for determining ovulation time are not sufficiently accurate, costly, and time-consuming, causing patient distress and inefficiency.
Innovation Solution
A non-invasive method and device that utilize patterns of physical activity, such as changes in the number and rate of steps, combined with additional physiological parameters like sleep patterns and heart rate, to predict ovulation time using wearable sensors and processing units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repeated blood tests and ultrasound examinations are performed to determine ovulation time, then measurement precision is improved, but loss of time and device complexity increase
Solution Approach 1:
The patent applies preliminary action by continuously monitoring physical activity patterns throughout the menstrual cycle to predict ovulation before it occurs. The system tracks activity data over time and identifies patterns that precede ovulation, allowing users to know the fertile window in advance without waiting for confirmation tests.
Solution Approach 2:
The patent extracts the essential indicator of ovulation from complex medical procedures by focusing solely on physical activity patterns. Instead of requiring blood tests and ultrasound examinations, the system isolates and analyzes only the relevant physical activity data that correlates with ovulation, simplifying the detection process.
2Measurement precision
If repeated blood tests and ultrasound examinations are performed to determine ovulation time, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent employs a simple, low-cost wearable device that continuously monitors physical activity using standard sensors. This disposable or reusable consumer electronics approach replaces expensive, complex medical equipment like ultrasound machines and laboratory testing facilities, making ovulation detection accessible and affordable.
Solution Approach 2:
The patent substitutes mechanical and invasive medical procedures (blood draws, ultrasound examinations) with electronic sensing and data analysis. The system uses accelerometers and other sensors to detect physical activity patterns, replacing the need for mechanical intervention and complex medical imaging equipment.
3Device complexity
If existing non-invasive methods such as basal body temperature and LH level detection are used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies universality by using a wearable device that can monitor multiple physiological parameters simultaneously - physical activity, heart rate, temperature, and sleep patterns. This multi-functional approach combines the simplicity of non-invasive monitoring with the precision of comprehensive data analysis, overcoming the limitations of single-parameter methods.
Solution Approach 2:
The patent implements feedback by continuously analyzing physical activity patterns and providing real-time predictions about ovulation timing. The system processes ongoing data streams, identifies pattern changes, and delivers timely notifications, creating a dynamic feedback loop that improves prediction accuracy compared to static single-point measurements.
Data Source
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AI summary
Provided herein are devices and methods for determining or predicting ovulation occurrence in human subjects, by utilizing non-invasive measurements of various activity parameters, and determination of patterns thereof over a period of time.