Multi-Analyte Sensor Circuit for Bias Offset Removal
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Solution Overview
Problem
Existing analyte sensors face challenges in achieving computational- and power-efficiency while maintaining functionality, such as secure wireless communication and compatibility with various receiving devices, often leading to increased production costs due to component specialization.
Innovation Solution
The system incorporates a multiple analyte sensor with a transimpedance amplifier, differential amplifier, and processor, utilizing a dual analyte setup with working electrodes, a counter electrode, and a reference electrode, along with a calibration function to adjust data and reduce bias offset, and includes an analog-to-digital converter and communication module for wireless data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If components of the analyte sensor are dedicated to particular functions of the processing, then processing efficiency is improved, but the cost of the components used in the analyte sensor increases
Solution Approach 1:
The patent implements a unified processing pipeline where a single processor coordinates multiple processing stages (raw signal processing, calibration parameter application, pattern recognition, and data generation) that can handle multiple analyte types. This multi-functional approach allows the system to achieve high processing efficiency for various analytes without requiring separate specialized components for each analyte type, thereby maintaining lower component costs while preserving productivity.
Solution Approach 2:
The patent combines multiple signal processing functions into an integrated system. The processor merges calibration parameter storage, signal processing algorithms, and pattern recognition capabilities into a single coordinated unit. This consolidation achieves efficient multi-analyte processing without the need for separate dedicated components for each function, reducing overall component cost while maintaining high processing throughput.
2Duration of action of moving object
If the analyte sensor operates for extended periods using an internal power source, then monitoring duration is improved, but power consumption becomes a critical constraint
Solution Approach 1:
The patent implements periodic sampling and processing of analyte signals rather than continuous operation. The system processes raw signals at optimized intervals, applies calibration parameters periodically, and performs pattern recognition at appropriate frequencies. This periodic action significantly reduces average power consumption compared to continuous processing, enabling extended monitoring duration on internal power sources while maintaining accurate multi-analyte measurement capabilities.
Solution Approach 2:
The processor autonomously manages power consumption by dynamically controlling when processing operations occur. The system self-regulates the timing of signal processing, calibration application, and data transmission based on operational needs, minimizing unnecessary power consumption. This self-service power management enables the sensor to operate for extended periods on internal power sources without external intervention.
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 configuration enhances computational and power efficiency, reduces production costs, and maintains sensor functionality, including secure wireless communication and compatibility with diverse receiving devices.
Implementation Method 1
The transimpedance amplifier can be configured to convert the received first signal and the received second signal to an output including a variable bias offset. The received signals can be current signals. The transimpedance amplifier can be configured to convert the first current signal and the second current signal into an output voltage.
Implementation Method 2
The differential amplifier can be configured to subtract the variable bias offset from the output to generate a modified output including a variable residual.
Implementation Method 3
The processor can be configured to generate data indicative of an analyte value from the modified output. The processor can use a calibration function configured to adjust the generated data based on the variable residual.
Data Source
Figure 1A
Figure 1B
Figure 2A
AI summary
A device includes a multiple analyte sensor, a transimpedance amplifier, and a differential amplifier. The multiple analyte sensor includes a first working electrode, a second working electrode, a counter electrode, and a reference electrode. Each of the first working electrode and the second working electrode is configured to receive a signal indicative of a presence of a respective analyte. The counter electrode is a sum of the received signal of each of the first working electrode and the second working electrode. The transimpedance amplifier is configured to receive a first signal of the received signals from the first working electrode and a second signal of the received signals from the second working electrode. The transimpedance amplifier converts the received first signal and the received second signal to an output including a variable bias offset. The differential amplifier is configured to subtract the variable bias offset from the output.