Biosensor Calibration Coding Serial Optical Encoding
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Solution Overview
Problem
Current biosensors face challenges in providing accurate and precise analyte concentration measurements due to limited space for encoding calibration information, which can lead to inaccuracies in determining analyte concentrations in biological fluids.
Innovation Solution
The implementation of serial calibration code patterns and synchronization code patterns using optically transparent and non-transparent positions on biosensor strips, allowing for the encoding of hundreds to thousands of calibration codes within a limited area, enabling more accurate analyte concentration determinations by correcting for manufacturing variations and other sensor-specific factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration encoding methods are used on biosensor strips, then the sensor can be manufactured and used, but the limited space restricts the number of calibration codes that can be stored, reducing measurement accuracy
Solution Approach 1:
The patent transitions from traditional parallel encoding to serial encoding along the length of the sensor strip. The calibration code is encoded as a sequence of transparent and non-transparent segments that are read sequentially as the sensor is inserted into the meter, rather than attempting to fit all calibration data into a limited two-dimensional area. This dimensional approach to data encoding allows significantly more calibration information to be stored on the same physical sensor strip area.
Solution Approach 2:
The calibration code is divided into multiple segments consisting of transparent and non-transparent portions along the sensor strip. Each segment represents a bit or group of bits in the calibration data. This segmentation allows the calibration information to be distributed along the length of the strip, maximizing the use of available space while maintaining the ability to read the entire code sequence during sensor insertion.
2Measurement precision
If more calibration codes are encoded on the sensor strip, then measurement accuracy improves, but the complexity of the encoding and reading system increases
Solution Approach 1:
The patent replaces complex mechanical or electronic memory systems with a simple optical encoding scheme. The calibration code is encoded using transparent and non-transparent segments that can be read optically during sensor insertion. This substitution of optical reading for electronic memory reduces the overall system complexity while enabling storage of numerous calibration codes on the sensor strip itself.
Solution Approach 2:
The sensor strip itself carries and transmits its own calibration information through the optical encoding pattern. The transparent and non-transparent segments form a self-contained calibration code that is automatically read by the meter's optical sensor during the normal insertion process, eliminating the need for separate calibration procedures or external programming.
3Loss of information
If serial calibration code patterns are implemented, then hundreds to thousands of calibration codes can be stored in limited area, but the synchronization mechanism adds additional system complexity
Solution Approach 1:
A synchronization code pattern is included at the beginning of the serial calibration code sequence. This preliminary pattern consists of a specific arrangement of transparent and non-transparent segments that serves as a start signal and timing reference. When the meter's optical sensor detects this synchronization pattern during sensor insertion, it initiates the reading of the subsequent calibration code segments, ensuring proper timing and sequence interpretation without requiring complex continuous synchronization mechanisms.
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 approach significantly increases the accuracy and precision of analyte concentration measurements by allowing for a large number of calibration codes to be read and processed, correcting for various factors that could otherwise decrease measurement accuracy.
Implementation Method 1
A first row of optically transparent and non-transparent positions forms a calibration code pattern... A second row of optically transparent and non-transparent positions forms a synchronization code pattern
Data Source
AI summary
A test sensor for determining an analyte concertation in a biological fluid comprises a strip including a fluid receiving area and port-insertion region. A first row of optically transparent and non-transparent positions forms a calibration code pattern disposed within a first area of the port-insertion region. A second row of optically transparent and non-transparent positions forms a synchronization code pattern disposed within a second area of the port-insertion region. The second area is different from the first area. The synchronization code pattern corresponds to the calibration code pattern such that the synchronization code pattern provides synchronization of the serial calibration code pattern during insertion of the port-insertion region into the receiving port of the analyte meter.