Non-Invasive Blood Glucose Correction via Metabolic Data
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Solution Overview
Problem
Current non-invasive methods for estimating blood glucose levels lack accuracy and are prone to measurement errors, requiring invasive methods for reliable results.
Innovation Solution
An apparatus and method that utilize a bio-information sensor to receive data, extract metabolic information from food intake, and correct blood glucose measurements using a processor, incorporating a communicator, inputter, and outputter to provide accurate bio-information by analyzing slope changes, confidence intervals, and probability variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive methods are used to estimate blood glucose levels, then convenience and comfort are improved, but measurement accuracy deteriorates
Solution Approach 1:
The patent uses an intermediary correction mechanism where metabolic information (derived from food intake data, activity levels, and physiological parameters) acts as a mediator to adjust and refine the non-invasive blood glucose measurements. This correction process compensates for the inherent inaccuracies of non-invasive methods while preserving their convenience.
Solution Approach 2:
The system dynamically changes multiple parameters including metabolic rate, food intake timing, macronutrient composition, and activity level to calculate a corrected blood glucose value. By adjusting these parameters based on real-time user data, the system improves measurement accuracy without sacrificing the non-invasive nature of the measurement.
2Measurement precision
If invasive methods are used to measure blood glucose, then measurement accuracy is improved, but user comfort and safety deteriorate due to pain and infection risk
Solution Approach 1:
The patent converts the inherent limitations and potential errors of non-invasive measurement into beneficial correction opportunities. By identifying and quantifying the measurement errors, the system applies metabolic corrections that transform the initially inaccurate non-invasive data into reliable blood glucose estimates, thereby eliminating the need for harmful invasive procedures while maintaining accuracy.
3Ease of operation
If non-invasive blood glucose estimation is used, then user comfort is improved, but reliability of the measurement deteriorates
Solution Approach 1:
The system implements a feedback mechanism where non-invasive measurements are continuously corrected based on metabolic information and compared against expected physiological responses. This feedback loop allows the system to identify and correct deviations, thereby improving reliability while maintaining user comfort through non-invasive measurement.
Data Source
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AI summary
An apparatus for providing corrected bio-information by using a bio-information sensor includes a communicator configured to receive bio-information from the bio-information sensor; a processor configured to extract metabolic information based on food intake information of a user and correct the received bio-information based on the extracted metabolic information; and an outputter configured to provide a result of correcting the bio-information.