Noninvasive Glucose Monitoring With Optical Sensor Calibration

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing glucose monitoring methods, particularly for individuals with diabetes, are invasive, painful, and prone to infection, with limited accuracy and convenience, and do not facilitate real-time, continuous monitoring that can lead to complications such as heart disease and stroke.

Innovation Solution

A system utilizing non-invasive sensors calibrated with invasive glucose monitors to generate medical-grade data, enabling real-time glucose level estimation, integrated with mobile devices for continuous glucose monitoring (CGM) and closed-loop insulin delivery, incorporating neural networks for data analysis and prediction of glucose levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If invasive glucose monitoring is used, then measurement accuracy is improved, but pain and infection risk increase

Engineering Contradiction:
Improveglucose measurement accuracyVSAvoidpain and infection risk
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent uses an intermediary substance (fluorescent indicator) that binds to glucose in the interstitial fluid to enable non-invasive detection. The indicator acts as a mediator between the glucose in the body and the external sensor, allowing measurement without direct blood contact, thus resolving the contradiction between accuracy and pain/infection risk

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical invasive system (lancet, finger prick, blood sampling) with an optical sensing system that uses fluorescent indicators and light detection. This substitution eliminates the mechanical intrusion into the body while maintaining continuous glucose monitoring capability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Object-affected harmful factors

If non-invasive sensors are used, then pain and infection risk are reduced, but measurement accuracy deteriorates

Engineering Contradiction:
Improvepain and infection riskVSAvoidglucose measurement accuracy
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The patent changes the measurement parameter from direct blood glucose concentration to fluorescent signal intensity, which correlates with glucose levels in interstitial fluid. By establishing a calibration relationship between these parameters, the system achieves accurate non-invasive measurement

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent creates a copy of the glucose concentration information through the fluorescent indicator in interstitial fluid. Instead of directly measuring blood glucose, the system measures the fluorescent signal that copies the glucose concentration pattern, enabling indirect but accurate measurement

Inventive Principle:
Principle #26Copying

3Reliability

If continuous monitoring is implemented, then diabetes management is improved, but device complexity increases

Engineering Contradiction:
Improvecontinuous glucose monitoring capabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements self-service through the autonomous operation of the sensing system. The fluorescent indicator continuously binds and unbinds with glucose molecules automatically, and the sensor continuously detects and transmits data without requiring user intervention, calibration, or manual operation, thus achieving continuous monitoring with minimal system complexity

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250387029A1Mobile health monitoring
Publication Date: 2025.12.25 TRAN BAO
  • US20250387029A1 patent drawing
  • US20250387029A1 patent drawing
  • US20250387029A1 patent drawing

AI summary

Systems and methods are disclosed for r monitoring a subject by coupling a wearable device with one or more noninvasive health sensors including an optical sensor and at least one electrical sensor to the subject, the optical sensor comprising one or more light emitting diodes at different wavelengths and one or more detectors; using the optical sensor, driving the one or more light emitting diodes at different wavelengths toward the skin of the subject and detecting the emergent light with the one or more detectors; calibrating data from the one or more noninvasive health sensors with clinical grade health data to track the subject's medical data during one or more subject activity conditions; capturing current additional subject data or current activity condition; and estimating the subject's current medical data with the one or more noninvasive health sensors and the current additional subject data or activity condition.