Error detection and rejection for a diagnostic testing system
Inventors
Modzelewski, Brent E. • Kayihan, Ferhan • Cardello, Edward
Assignees
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Publication Number
US-10459781-B2
Publication Date
2019-10-29
Expiration Date
Abstract
A system for measuring a property of a sample is provided. The system comprises a diagnostic measuring device having a memory and a diagnostic test strip for collecting the sample. The strip has embedded thereon a pattern representative of at least first data and second data, the first data being data representing at least one of parameters related to measuring the property, codes usable for calibration of the diagnostic measuring device, or parameters indicating proper connection between the measuring device and the test strip and the second data usable for detecting and rejecting potential errors affecting the proper measurement of the property.
Core Innovation
The invention describes an electrochemical diagnostic testing system in which a diagnostic test strip includes embedded code data used for calibration, test identification, and error detection. A diagnostic measuring device receives the code and performs an error detection and rejection algorithm based on the received embedded code data.
To minimize the impact of potential errors that may occur when receiving a first code comprising a plurality of bits, the approach determines a probability of each bit to cause a read error. The system then constructs a logical arrangement of the bits different than the physical arrangement, arranging the bits so that the impact of potential read errors is minimized.
The disclosed logic for minimizing error impact includes arranging bits in a sequential or non-sequential logical arrangement, and constructing a logical code space with acceptable versus unacceptable codes based on least versus most significant bit errors. The disclosure further includes constructing a logical bit arrangement based on per-bit error probabilities by mapping or replacing higher-error bits with lower-error bits, and optionally applying error correction such as Hamming codes to correct statically read codes.
In addition to probability-based logical arrangement, the disclosure describes multiple error detection mechanisms for codes embedded on the strip. These mechanisms include trending-based detection of unexpected changes in strip characteristics across time and usage, checksum detection using modulus or parity or multi-bit checksum bits encoded on the strip, and redundant code encoding read twice in different sequences to detect manufacturing or position-dependent errors.
Claims Coverage
The independent claim covers minimizing the impact of potential read errors in a received code by using per-bit read-error probability to construct a logical arrangement different from the physical bit arrangement, such that the impact of read errors is minimized.
Probability-based logical re-arrangement minimizing read-error impact
Determining a probability of each bit to cause a read error; and constructing a logical arrangement of the bits different than the physical arrangement based on the probability, wherein the logical arrangement comprises the bits arranged such that the impact of potential read errors is minimized.
Across the independent claim and its identified refinements, the core coverage is probability-driven construction of a logical arrangement different from the physical arrangement so that read-error impact is minimized, optionally in sequential or non-sequential form and tied to acceptable versus unacceptable code-space behavior based on least versus most significant bit errors.
Stated Advantages
Minimizes the impact of potential read errors when the device receives the code.
Enables construction of a logical arrangement and logical code space that reduces the effect of potential read errors.
Supports error detection and rejection based on checksum, redundant reads, and trending detection.
Documented Applications
Electrochemical diagnostic testing using a diagnostic test strip with embedded calibration, test-identification, and error-detection data read by a diagnostic measuring device (meter).
Fluid constituent determination in a diagnostic test, where processing of logically arranged code can lead to determining the constituent level of the fluid.
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