System and method for detecting pregnancy related events
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Solution Overview
Problem
Existing methods for monitoring pregnancy-related events such as ovulation, conception, and miscarriage are inconvenient and cannot be used throughout the entire pregnancy journey, and current wearable sensors lack the ability to continuously assess these events with minimal user effort.
Innovation Solution
A wearable device with sensor systems measures physiological parameters and a processor analyzes these parameters by comparing time windows to detect pregnancy-related events like ovulation, conception, and miscarriage, using defined detection criteria and adapting to user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If temperature method or urinal tests are used to monitor pregnancy events, then detection capability is provided, but user convenience is poor and continuous monitoring is not possible
Solution Approach 1:
The wearable device automatically measures physiological parameters without requiring user action. The sensor system continuously captures body temperature, heart rate, and other physiological data passively, eliminating the need for users to manually perform temperature measurements or urinal tests while maintaining reliable detection capability
Solution Approach 2:
The device enables continuous monitoring of physiological parameters throughout the pregnancy journey. The sensor system operates continuously to capture temporal patterns in body temperature, heart rate variability, and other parameters, providing uninterrupted detection capability unlike discrete temperature methods or urinal tests
2Productivity
If wearable sensors are used to measure physiological parameters, then continuous monitoring is achieved, but the ability to accurately detect specific pregnancy events is insufficient
Solution Approach 1:
The processor analyzes physiological parameters in real-time and compares them against established patterns for ovulation, conception, and miscarriage detection. The system uses feedback from continuous measurements to identify specific event patterns, such as temperature shifts associated with ovulation or changes in heart rate variability indicating conception or miscarriage
Solution Approach 2:
The device establishes baseline physiological patterns before pregnancy events occur. By continuously measuring and storing physiological data prior to events like ovulation or conception, the system can compare subsequent measurements against these baselines to accurately detect when specific events occur, improving measurement precision while maintaining continuous monitoring
Data Source
AI summary
An electronic system for detecting events related to a pregnancy of a female human, such as ovulation, conception, and miscarriage, comprises a wearable device (1) with a sensor system (100) worn in contact with the skin for measuring one or more physiological parameters. A processor (13, 30, 40) is configured to receive a user entry indicating a time of actual menses, and to determine time windows, for analyzing physiological parameters of the female human, using the time of actual menses. The processor is further configured to detect the pregnancy related events by comparing the physiological parameters, determined and recorded for a first time window, with those determined and recorded for a second time window, to indicate the pregnancy related events when defined detection criteria are met, and to use the user input for pregnancy related events to optimize the detection of these events with machine learning trained algorithms.