Microwave Blood Parameter Detection via Frequency Shift Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current non-invasive methods for detecting blood sugar concentration, such as microwave spectroscopy, face challenges including inaccurate measurements due to impedance maladjustments, inability to distinguish between capillary and venous blood, and lack of continuous monitoring, leading to unreliable results and delayed response to blood sugar changes.
Innovation Solution
A microwave-based detection device that uses a transmitter and receiver to couple signals at different frequencies into a blood vessel, detecting frequency shifts of absorption lines to ascertain blood sugar concentration, employing a dielectric waveguide system that excites various wave modes for accurate detection, and utilizing a processor to calculate frequency shifts relative to reference loss variables for reliable measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If microwave spectroscopy is used for non-invasive detection, then the necessity of blood sampling is eliminated, but measurement accuracy deteriorates due to impedance maladjustments
Solution Approach 1:
The patent introduces a coupling medium (gel or liquid) between the microwave sensor and the measurement site to improve impedance matching. This intermediary substance eliminates air gaps and reduces signal loss, thereby maintaining measurement accuracy while preserving the non-invasive nature of the detection method.
Solution Approach 2:
The patent employs impedance tuning circuits that can dynamically adjust electrical parameters (resistance, capacitance, inductance) to optimize the match between the microwave sensor and the biological tissue. By changing these electrical parameters in real-time, the system maintains high measurement accuracy despite variations in tissue properties.
2Device complexity
If single-frequency microwave measurement is used, then device complexity is reduced, but the ability to distinguish between capillary and venous blood is lost
Solution Approach 1:
The patent divides the measurement into multiple frequency segments, using different frequency ranges to probe different penetration depths. Lower frequencies penetrate deeper to detect venous blood, while higher frequencies detect capillary blood closer to the surface. This segmentation allows the system to distinguish between blood types without requiring complex additional hardware.
Solution Approach 2:
The patent adds the frequency dimension to the measurement, transforming a single-parameter measurement into a multi-dimensional characterization. By analyzing how absorption characteristics vary across different frequencies, the system can differentiate between capillary and venous blood based on their distinct electromagnetic signatures at various frequency levels.
3Productivity
If continuous monitoring is implemented, then timely response to blood sugar changes is achieved, but device complexity and power consumption increase
Solution Approach 1:
The patent implements periodic measurements at optimized intervals rather than truly continuous monitoring. The system performs rapid sequential measurements at multiple frequencies in a periodic cycle, achieving effective continuous monitoring capability while keeping power consumption and computational complexity manageable through time-multiplexed operation.
Solution Approach 2:
The patent performs preliminary calibration and characterization measurements during an initial phase to establish baseline parameters and optimize measurement settings. This preliminary action allows the system to subsequently operate in a more efficient mode with reduced complexity, as the optimization parameters are predetermined based on individual user characteristics.
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
This method provides accurate, continuous monitoring of blood sugar levels, enabling timely responses to changes and improving reliability by distinguishing between capillary and venous blood, thus addressing the limitations of existing non-invasive techniques.
Implementation Method 1
coupling a microwave signal into tissue perfused by blood and detecting a frequency-dependent absorption of coupled-in microwave energy
Implementation Method 2
employing a dielectric waveguide system that excites various wave modes for accurate detection
Implementation Method 3
detecting frequency shifts of absorption lines to ascertain blood sugar concentration
Data Source
AI summary
A detection device for detecting a blood count parameter in a blood vessel, comprising a transmitter to inject a first transmit signal of a first frequency into the blood vessel and a second transmit signal of a second frequency into the blood vessel, a receiver to receive a first receive signal at the first frequency and a second receive signal at the second frequency, a loss detector to determine a first loss value on the basis of the first transmit signal and the first receive signal at the first frequency, and to determine a second loss value on the basis of the second transmit signal and the second receive signal at the second frequency, and a processor to determine a first frequency shift of the first loss value relative to a first reference loss value, determine a second frequency shift of the second loss value relative to a second reference loss value, and determine the blood count parameter on the basis of the first frequency shift and the second frequency shift.