Blood Pressure Calibration via Dynamic Reference Adjustment
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Solution Overview
Problem
Existing blood pressure measurement technologies face challenges in accurately calibrating algorithms for individual users, leading to inefficient calibration frequencies and increased user burden due to the need for frequent adjustments in exercise, environment, and nutrition states, which affects the accuracy and frequency of blood pressure estimation.
Innovation Solution
A blood-pressure-measuring device and system that includes a feature amount acquisition unit, blood pressure value calculation unit, actually measured blood pressure value acquisition unit, calibration determination unit, and calibration processing unit, which dynamically adjusts the reference values based on the difference between estimated and actually measured blood pressure values to optimize calibration frequency and reduce user burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blood pressure measurement for calibration is performed frequently to improve accuracy, then measurement precision is improved, but user burden increases due to discomfort from cuff compression
Solution Approach 1:
The patent implements dynamic adjustment of calibration frequency based on multiple changing factors including user state (rest, exercise, sleep), environmental conditions (temperature, humidity), and measurement history. The determination unit dynamically decides whether calibration is needed by evaluating these varying conditions, transforming the static fixed-frequency calibration into a dynamic adaptive process that balances accuracy requirements with user comfort.
2Ease of operation
If calibration is performed at fixed frequency to simplify operation, then ease of operation is improved, but measurement precision deteriorates because individual characteristics and environmental changes are not accounted for
Solution Approach 1:
The system incorporates feedback mechanisms where the determination unit continuously monitors user state, environmental conditions, and measurement results to dynamically adjust calibration frequency. The system learns from past measurement data and calibration outcomes, using this feedback to intelligently determine when calibration is truly necessary, thereby maintaining high accuracy while avoiding unnecessary calibrations that would burden the user.
Solution Approach 2:
The patent changes multiple parameters simultaneously to optimize calibration timing: user state parameters (activity level, heart rate), environmental parameters (temperature, humidity), and measurement parameters (time of day, measurement history). By monitoring and responding to changes in these parameters, the system adapts calibration frequency to actual needs rather than following a fixed schedule.
3Measurement precision
If multiple feature amounts are collected to improve calibration accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent makes the blood pressure measuring device multi-functional by integrating not only blood pressure measurement but also user state detection (via accelerometers, heart rate sensors), environmental sensing (temperature, humidity), and data management functions. This universal device collects diverse feature amounts through its multiple sensing capabilities, improving calibration accuracy without requiring separate specialized devices for each measurement type.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the accuracy of blood pressure estimation by optimizing calibration frequency according to individual characteristics, reducing the need for unnecessary measurements and minimizing user discomfort during calibration processes.
Implementation Method 1
a pulse wave sensor, such as a photo plethysmo graphic (PPG) sensor
Data Source
AI summary
A blood-pressure-measuring device includes: a feature amount acquisition unit that acquires one or more feature amounts related to estimation of a blood pressure value of a human body; a blood pressure value calculation unit that calculates an estimated blood pressure value based on the feature amount; an actually measured blood pressure value acquisition unit that acquires an actually measured blood pressure value measured by a method different from the calculation by the blood pressure value calculation unit; a calibration determination unit that determines whether or not the feature amount acquired by the feature amount acquisition unit deviates from a predetermined reference value, the calibration determination unit determining to acquire the actually measured blood pressure value when the calibration determination unit has determined that the feature amount deviates; and a calibration processing unit that estimates blood pressure value.