Infrared LED Ring for Non-Invasive Blood Glucose Monitoring
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Solution Overview
Problem
Current methods for monitoring blood glucose levels in diabetes patients are invasive, painful, costly, and pose infection risks, with no existing non-invasive real-time monitoring solution available.
Innovation Solution
A wearable wireless non-invasive blood glucose measurement system using an infrared LED-enabled ring device that employs machine learning algorithms to interpret photoplethysmography data for real-time glucose level determination, with data sent to mobile devices or cloud networks for storage and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive glucose measurement methods are used, then measurement precision is improved, but patient comfort and ease of operation deteriorate due to pain and infection risk
Solution Approach 1:
The patent replaces the mechanical invasive puncture method with an optical measurement system using near-infrared spectroscopy. The NIR light penetrates the skin non-invasively to measure glucose levels, eliminating needles and infection risks while maintaining measurement capability through spectral analysis of tissue chromophores
Solution Approach 2:
The patent introduces near-infrared light as an intermediary medium to interact with glucose molecules in the tissue. The NIR radiation serves as a mediator that carries information about glucose concentration without direct contact or invasion, allowing measurement through optical absorption and scattering properties
2Object-affected harmful factors
If non-invasive optical methods are used, then patient comfort is improved, but measurement precision and reliability deteriorate due to technical limitations
Solution Approach 1:
The patent performs preliminary calibration by having users provide reference glucose measurements from standard meters. This preliminary data is used to train and personalize the optical measurement system for each user, improving subsequent measurement accuracy by accounting for individual variations in tissue optics and glucose concentration relationships
Solution Approach 2:
The patent implements a feedback mechanism where the optical measurement system continuously monitors glucose levels and provides real-time feedback to users and healthcare providers. The system also uses feedback from reference measurements to refine and update calibration parameters, improving measurement precision over time through adaptive learning
3Productivity
If continuous real-time monitoring is implemented, then diabetes management effectiveness is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a universal platform that can perform multiple functions: continuous glucose monitoring, reference measurement input, data storage, and communication with healthcare providers. By designing a multi-functional device, the patent reduces overall system complexity compared to coordinating multiple separate devices while enabling continuous real-time monitoring capability
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
Enables continuous, painless, and cost-effective monitoring of blood glucose levels with high accuracy, potentially reducing complications and improving diabetes management by providing real-time data to patients and healthcare providers.
Implementation Method 1
Near-infrared (NIR) is one of the most widely explored optical techniques because of its high penetration in skin
Implementation Method 2
a wearable wireless non-invasive system comprising an infrared LED-enabled wireless ring
Implementation Method 3
measuring spectra of the tissue chromophores with the photodetector
Implementation Method 4
a photodetector to detect the spectra of the tissue chromophores
Data Source
AI summary
The present invention discloses a wearable, wireless, non-invasive blood glucose measurement system comprising an infrared LED-enabled wireless ring interfaced with machine learning software wherein the ring outputs data from the wearer used to determine the blood glucose concentrations of the wearer in real time. The blood glucose data analytics can be subsequently sent to, and displayed on, a smart mobile device, such as an iPhone®, or distributed over a cloud network.