Personalized Bio-Information Correcting Apparatus for Blood Glucose Monitoring

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Solution Overview

Problem

Individual variations in physiological responses to insulin administration and food intake complicate accurate blood glucose monitoring in diabetes management, leading to potential hypoglycemia and inconsistent insulin dosing.

Innovation Solution

A personalized bio-information correcting apparatus and method that generates a personalized physiological model based on an individual's physiological response, using a mathematical model to identify outliers in blood glucose data and correct measurements to ensure accurate glucose level monitoring within a user-specific guideline range.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a standardized bio-information measurement approach is used, then the device complexity is low and ease of operation is high, but measurement precision deteriorates due to individual physiological variations

Engineering Contradiction:
Improveblood glucose measurement accuracyVSAvoidphysiological model complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by collecting bio-information data over a predetermined period and generating a personalized physiological model before actual measurement. This pre-characterization of individual physiological responses enables accurate real-time correction without adding complexity to the measurement process itself.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes parameters by dynamically adjusting measurement values based on the personalized physiological model. Instead of using fixed standardized thresholds, the system adapts reference ranges and correction factors to match individual physiological characteristics, thereby improving measurement precision.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If standardized measurement guidelines are used, then ease of operation is high, but reliability deteriorates due to individual physiological variations

Engineering Contradiction:
Improveblood glucose monitoring reliabilityVSAvoidmeasurement process simplicity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system implements self-service by automatically generating personalized physiological models and applying corrections without requiring user intervention. The apparatus autonomously characterizes individual physiological responses and uses this information to reliably correct measurements, maintaining ease of operation while improving reliability.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If individual physiological characteristics are considered, then measurement precision improves, but loss of time increases due to data collection period

Engineering Contradiction:
Improvebio-information measurement accuracyVSAvoidmodel generation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs the time-consuming physiological characterization in advance, during a predetermined data collection period. Once the personalized model is generated, subsequent measurements benefit from improved precision without requiring additional time for analysis, as the correction process uses pre-computed individual parameters.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11399746B2Personalized bio-information correcting apparatus and method
Publication Date: 2022.08.02 SAMSUNG ELECTRONICS CO LTD
  • US11399746B2 patent drawing
  • US11399746B2 patent drawing
  • US11399746B2 patent drawing

AI summary

A personalized bio-information correcting apparatus includes a communication interface configured to acquire original bio-information value data of a user, and a processor configured to obtain a personalized bio-information guideline, based on a personalized physiological model, identify whether at least one value among the acquired original bio-information value data is an outlier, based on the obtained personalized bio-information guideline, and based on the at least one value among the acquired original bio-information value data being identified to be the outlier, obtain final bio-information value data by correcting the at least one value among the acquired original bio-information value data.