Glucose Metabolism Phase Space Analysis for Diabetes Diagnosis

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Solution Overview

Problem

Current methods for diagnosing pre-type 2 diabetes are unreliable and resource-intensive, failing to accurately identify individuals at risk due to their reliance on single measurements or short-term glucose monitoring, which do not capture the dynamic regulatory mechanisms of glucose metabolism.

Innovation Solution

A method involving continuous measurement of blood glucose concentration for at least four hours, with data points processed in phase space coordinates to detect anomalies in glucose metabolism, allowing for the identification of disease-related disturbances through phase space representation and statistical analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If glucose clamp technique is used to determine insulin resistance, then diagnostic accuracy is improved, but resource consumption and complexity increase significantly

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidresource consumption
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts the essential diagnostic information from the complex glucose clamp procedure by identifying and measuring only the key parameter - glucose infusion rate required to maintain elevated blood glucose levels. This extracted measurement provides diagnostic accuracy comparable to the full glucose clamp technique but without the extensive resource consumption, specialized facilities, and complex procedures required by the original method.

Inventive Principle:
Principle #2Taking out (Extraction)

2Productivity

If single blood sample measurement is used, then resource consumption is reduced, but diagnostic reliability deteriorates

Engineering Contradiction:
Improveresource efficiencyVSAvoiddiagnostic reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent transitions from static single-point measurement to dynamic continuous monitoring by measuring blood glucose concentration at multiple time points (at least 3 measurements) over an extended period. This dynamic approach captures the temporal evolution of glucose metabolism, revealing patterns and trends that single measurements cannot detect, thereby significantly improving diagnostic reliability while maintaining resource efficiency through the use of simpler measurement protocols.

Inventive Principle:
Principle #15Dynamics

3Loss of time

If short-term glucose monitoring is used, then measurement time is reduced, but ability to detect metabolic disturbances deteriorates

Engineering Contradiction:
Improvemeasurement timeVSAvoiddetection accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The patent employs preliminary action by requiring blood glucose measurements at multiple predetermined time points (at least 3 measurements) before final diagnostic evaluation can be performed. This preliminary data collection at extended time intervals allows the system to capture early metabolic disturbances and establish baseline patterns, enabling more accurate detection of diabetes-related metabolic changes while managing the overall measurement time through structured sampling.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS8131474B2Method and system for investigating glucose metabolism
Publication Date: 2012.03.06 ROCHE DIABETES CARE INC
  • US8131474B2 patent drawing
  • US8131474B2 patent drawing
  • US8131474B2 patent drawing

AI summary

The invention relates to a method for investigating the glucose metabolism of a human being for disease-relevant and/or disease-related particularities. The glucose concentration g(t1) to g(tn) of a body fluid is measured at time points t1 to tn that are distributed over a period of at least six hours. The data points are then determined in phase space coordinates from the glucose concentration measuring values g(t1) to g(tn). The data points are then processed to highlight disease-relevant and/or disease-related particularities of the glucose metabolism of the investigated human being. The processing of the data points can be implemented by plotting them in a phase space representation or by determining from the data points a disturbance parameter that is correlated to the severity of a disturbance of glucose metabolism.