Non-invasive Analyte Sensor with Motion and Temperature Compensation
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Solution Overview
Problem
Current non-invasive analyte detection methods face challenges such as lack of specificity, interference from temperature fluctuations and skin compounds, and complexity in placement, particularly when measuring analytes like glucose in biological materials.
Innovation Solution
A non-invasive analyte sensor system utilizing a detector array operating in radio or microwave frequencies, integrated with motion and temperature sensors, which processes data to filter out inaccuracies caused by motion and adjust for temperature-related signal drift, allowing for accurate analyte detection without invasive procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If non-invasive detection methods are used, then patient comfort and safety are improved, but measurement precision and specificity deteriorate due to interference from temperature fluctuations and skin compounds
Solution Approach 1:
The system incorporates temperature sensors that continuously monitor temperature at the sensor site and use this feedback to compensate for temperature-induced signal variations. Motion sensors provide feedback about patient movement, allowing the system to filter out motion artifacts and maintain measurement accuracy during normal patient activities.
Solution Approach 2:
Multiple sensor types (electromagnetic, temperature, motion) act as intermediaries to detect and characterize interference sources. These intermediary measurements enable the system to distinguish between analyte signals and interference from skin compounds, temperature fluctuations, or motion, thereby maintaining specificity without invasive procedures.
2Object-affected harmful factors
If non-invasive detection methods are used, then invasiveness is reduced, but measurement precision deteriorates due to interference from temperature fluctuations
Solution Approach 1:
Temperature sensors continuously monitor temperature at the sensor site and provide feedback that enables real-time compensation for temperature-induced signal variations. This allows the system to maintain measurement precision across varying environmental and physiological temperature conditions without requiring invasive temperature control.
Solution Approach 2:
The system dynamically adjusts measurement parameters based on detected temperature changes. By monitoring temperature as a variable parameter and compensating for its effects on electromagnetic signal propagation, the system maintains measurement accuracy despite temperature fluctuations that would otherwise degrade precision in non-invasive settings.
3Measurement precision
If motion sensor data processing is added, then measurement precision is improved by filtering motion artifacts, but device complexity increases
Solution Approach 1:
Motion sensing capabilities are merged with the electromagnetic detection system by integrating accelerometers or gyroscopes into the sensor device. This combination allows simultaneous capture of analyte information and motion data, which are then processed together to filter motion artifacts and improve overall measurement precision without requiring separate monitoring systems.
Solution Approach 2:
Motion sensors provide real-time feedback about patient movement that feeds into the signal processing algorithm. This feedback enables dynamic filtering of motion-induced artifacts from the analyte measurements, maintaining high precision during patient movement while avoiding the need for rigid, complex mechanical stabilization systems.
4Measurement precision
If temperature compensation processing is added, then measurement precision is improved by reducing temperature interference, but device complexity increases
Solution Approach 1:
Temperature sensing and compensation capabilities are merged into the electromagnetic detection system by integrating temperature sensors and compensation algorithms. This unified approach allows simultaneous electromagnetic signal detection and temperature monitoring, with automated compensation that reduces temperature interference without requiring separate, complex temperature control hardware or manual calibration procedures.
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 precise, non-invasive detection of analytes like glucose without the need for invasive procedures, improving specificity and reducing interference from environmental factors, allowing for accurate measurements without complex placement requirements.
Implementation Method 1
transmit an electromagnetic signal in the radio or microwave frequency range
Implementation Method 2
detect an electromagnetic wave in a radio or microwave frequency range that results from transmission of a transmit signal
Implementation Method 3
receive circuit that is electrically connectable to the antenna to convert the electromagnetic wave into one or more signals
Data Source
AI summary
A non-invasive analyte sensor includes one or more motion sensors and/or one or more temperature sensors. Data from the one or more motion sensors and/or one or more temperature sensors can be used to post-process the data obtained by the non-invasive analyte sensor.