EM Blood Glucose Sensing With Predictive Modeling for Accuracy
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Solution Overview
Problem
Existing blood-glucose monitoring techniques are invasive, painful, inconvenient, or inaccurate, particularly for non-invasive methods, due to factors affecting the response signal and limited measurement sensitivity.
Innovation Solution
A non-invasive method using electromagnetic signals interacting with the body to determine glucose concentration, combined with predictive models trained on measurement data and subject parameters, providing accurate glucose level monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive blood withdrawal procedures are used, then measurement accuracy is improved, but patient comfort and convenience deteriorate
Solution Approach 1:
The patent replaces the mechanical invasive blood withdrawal system with an electromagnetic sensing system. The device uses electromagnetic signals to interact with blood in the body part, eliminating the need for physical blood extraction while maintaining measurement capability through non-invasive sensing.
Solution Approach 2:
The patent introduces an electromagnetic signal as an intermediary between the measurement device and the blood glucose. Instead of directly extracting blood, the device sends electromagnetic signals that interact with the blood in the body part, and the response signal carries information about glucose concentration without requiring physical contact or invasion.
2Ease of operation
If non-invasive electromagnetic measurement is used, then patient comfort is improved, but measurement accuracy deteriorates due to signal variability
Solution Approach 1:
The patent employs feedback mechanisms where the device measures the response signal from the electromagnetic interaction and uses this information to adjust and refine glucose concentration determination. The system continuously monitors and processes the response signal to compensate for variability and improve measurement accuracy over time.
Solution Approach 2:
The patent utilizes changes in electromagnetic signal parameters (frequency, amplitude, phase) that occur when interacting with blood containing different glucose concentrations. By detecting and analyzing these parameter changes in the response signal, the device can determine glucose levels accurately despite the non-invasive approach.
3Reliability
If repeated blood withdrawal procedures are performed, then continuous monitoring capability is improved, but time consumption and inconvenience increase
Solution Approach 1:
The patent enables continuous monitoring by maintaining persistent electromagnetic interaction with the blood in the body part. Instead of discrete repeated procedures, the device can continuously send electromagnetic signals and receive response signals, providing ongoing glucose level information without interruption or repeated patient intervention.
Solution Approach 2:
The patent allows the body's blood to serve the measurement function continuously without requiring external intervention. The electromagnetic signals interact with the blood in situ, and the blood itself provides the measurement information through its electromagnetic response properties, eliminating the need for repeated manual blood extraction and analysis.
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 quick, painless, and accurate glucose level monitoring with reduced variability, allowing for timely intervention and continuous monitoring.
Implementation Method 1
measuring a response from an electromagnetic (EM) signal interacting with blood in a body part of a subject
Data Source
AI summary
According to an aspect, there is provided a computer-implemented method (200) of determining a concentration of glucose in a subject's blood, the method comprising: acquiring (202) first measurement data indicative of a response resulting from an electromagnetic (EM) signal interacting with the subject's blood in a body part of the subject; acquiring (204) second measurement data indicative of at least one parameter associated with the subject; and using (206) a predictive model to infer a concentration of glucose in the subject's blood from the first measurement data and the second measurement data, the predictive model having been trained to infer a concentration of glucose in the subject's blood from the first measurement data and the second measurement data.


