Health Care Apparatus Non-Invasive Blood Glucose Pattern Analysis
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Solution Overview
Problem
Current methods for monitoring diet and blood glucose levels are burdensome and prone to skipped data, increasing stress and requiring direct recording, which is not efficient for individuals managing health conditions like diabetes and high blood pressure.
Innovation Solution
A healthcare apparatus and method that generates blood glucose patterns over different time periods, calculates a personalized glycemic index using non-invasive detection methods like Raman spectroscopy, and correlates this index with biomedical information and exercise data to provide personalized dietary guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If direct recording of diet content and amount is implemented by each person, then diet monitoring data can be obtained, but user burden and stress increase and data may be skipped
Solution Approach 1:
The system automatically monitors blood glucose levels and detects meal intake patterns without requiring active user participation. The blood glucose sensor continuously measures glucose levels, and the processor automatically identifies meal events based on glucose pattern changes, eliminating the need for manual diet recording while reducing user burden to simple activities like wearing the device and taking glucose tablets.
Solution Approach 2:
The patent replaces the mechanical/manual system of direct user recording with an automated biochemical detection system. Blood glucose sensors continuously monitor glucose levels, and the processor uses algorithms to detect meal intake based on glucose pattern changes, substituting manual recording with automated physiological measurement and analysis.
2Measurement precision
If blood glucose level detection is performed frequently and continuously, then accurate glycemic index calculation is achieved, but device complexity and measurement burden increase
Solution Approach 1:
The system uses disposable glucose tablets that are consumed during the measurement process. Each test requires the user to ingest a glucose tablet, and the sensor detects the resulting blood glucose response. This disposable approach simplifies the device design compared to reusable complex sensors while maintaining measurement accuracy through standardized glucose challenges.
Solution Approach 2:
Instead of continuous monitoring requiring complex devices, the system uses periodic blood glucose measurements at specific time points after glucose tablet ingestion. The processor analyzes blood glucose levels at predetermined intervals (e.g., 15, 30, 60, 120 minutes) to calculate the glycemic index, reducing device complexity while maintaining measurement precision through strategic sampling.
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
The apparatus simplifies the monitoring of blood glucose levels and dietary effects, allowing for accurate personalized glycemic index calculation and dietary recommendations, reducing user burden and improving health management.
Implementation Method 1
The detecting may include using at least one among Raman spectroscopy, infrared absorption spectroscopy, and a radio frequency analysis method.
Implementation Method 2
The detecting may include using at least one among Raman spectroscopy, infrared absorption spectroscopy, and a radio frequency analysis method.
Data Source
AI summary
A health care apparatus and an operating method thereof are provided. The method includes generating a first blood glucose pattern of an examinee that indicates a blood glucose level of the examinee over a first period of time, generating a second blood glucose pattern of the examinee that indicates the blood glucose level of the examinee over a second period of time, generating a third blood glucose pattern of the examinee that indicates the blood glucose level of the examinee over a third period of time, and calculating a glycemic index of the examinee based on the first blood glucose pattern, the second blood glucose pattern, and the third blood glucose pattern.