Blood Information Estimating Apparatus for Masked Hypertension Detection
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Solution Overview
Problem
Existing methods for detecting hypertension often miss masked hypertension, as they focus on a single time point in a controlled environment, failing to account for environmental and temporal variations in blood pressure, and do not accurately determine blood pressure status without active examination.
Innovation Solution
A blood information estimating apparatus that acquires user terminal logs and weather information to estimate blood pressure and other health metrics using a hypertension detection model, incorporating user attribute information and life habits to identify potential hypertension risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blood pressure is measured only at a single time point in an examination room, then the measurement process is simple and quick, but masked hypertension cannot be detected accurately
Solution Approach 1:
The system performs preliminary actions by continuously collecting blood pressure data at multiple time points before the examination. The blood pressure estimation unit uses these pre-collected data points to calculate accurate blood pressure values, enabling detection of masked hypertension without requiring complex continuous monitoring equipment during the examination itself.
Solution Approach 2:
The patent introduces an intermediary approach by using a blood pressure estimation unit that calculates blood pressure values based on multiple measured data points and user information. This intermediary calculation mechanism bridges the gap between simple single-point measurement and complex continuous monitoring, achieving accurate masked hypertension detection through computational processing of multiple data points.
2Reliability
If blood pressure is continuously measured at home, then masked hypertension can be detected, but the system requires active user participation and multiple devices
Solution Approach 1:
The system enables self-service by automatically collecting blood pressure data at multiple time points without requiring active user participation during the measurement process. The blood pressure measurement unit automatically records data, and the estimation unit processes this information to detect masked hypertension, eliminating the need for users to manually operate complex monitoring systems while maintaining high detection reliability.
3Measurement precision
If prediction of health risk is performed based on use logs, then health risk can be predicted, but blood pressure status cannot be accurately ascertained
Solution Approach 1:
The patent merges multiple data sources including blood pressure measurement data, user information (age, sex, height, weight), and lifestyle information to create a comprehensive blood pressure estimation system. The blood pressure estimation unit integrates these diverse data types to accurately ascertain blood pressure status, preventing loss of information by combining quantitative measurement data with contextual user information.
Data Source
AI summary
A blood information estimating apparatus that determines a blood status such as a blood pressure of a user is provided. The blood information estimating apparatus 100 includes a data acquiring function 41 serving as a log acquiring unit that acquires a terminal use log of a user terminal such as a mobile terminal and a hypertension detecting function serving as an estimation unit that estimates blood information on change of a blood status based on the terminal use log. The blood information estimating apparatus 100 includes a hypertension detection model that outputs blood information based on the terminal use log. The hypertension detecting function 45 estimates the blood information using the hypertension detection model. With this configuration, it is possible to estimate a blood status of a user without imposing a burden on the user. Accordingly, it is possible to simply estimate a status such as masked hypertension.