Biosensor Analyte Measurement Compensation
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Solution Overview
Problem
Current biosensor systems struggle to accurately determine analyte concentrations due to extraneous stimuli such as temperature and hematocrit variations, leading to off-condition errors that are not effectively detected or compensated for, especially in portable devices used under varying environmental conditions.
Innovation Solution
The method involves back-calculating secondary output signals based on primary output signals to adjust for extraneous stimuli, using cyclic compensation processes to improve accuracy by repeatedly refining the analyte concentration calculations until the off-condition is resolved, thereby enhancing the reliability of analyte measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biosensor systems use standard measurement methods, then the device complexity is low, but measurement precision deteriorates due to extraneous stimuli such as temperature and hematocrit variations
Solution Approach 1:
The patent segments the measurement process into multiple distinct phases: initial measurement phase, back-calculation phase, and cyclic compensation phase. Each phase handles specific aspects of the measurement, allowing complex compensation algorithms to be applied systematically without overwhelming the overall system architecture.
Solution Approach 2:
The patent performs preliminary back-calculation of secondary output signals before final analyte concentration determination. This preliminary action identifies potential off-conditions and allows the system to prepare appropriate compensation strategies in advance, improving measurement accuracy without adding complex real-time processing during the critical measurement moment.
Solution Approach 3:
The patent implements a feedback mechanism where back-calculated secondary output signals are used to adjust and compensate for extraneous stimuli effects. The cyclic compensation process continuously refines the analyte concentration calculation by feeding back compensation factors derived from temperature and hematocrit variations, progressively improving measurement precision.
2Adaptability or versatility
If biosensor systems operate under varying environmental conditions, then adaptability improves, but reliability deteriorates due to off-condition errors
Solution Approach 1:
The patent dynamically adjusts measurement parameters based on detected environmental conditions. By monitoring temperature and hematocrit levels and changing compensation parameters accordingly, the system maintains reliability across varying environmental conditions. The back-calculation process identifies when parameters have shifted into off-condition ranges and applies appropriate corrections.
3Measurement precision
If cyclic compensation processes are implemented, then measurement precision improves, but loss of time increases due to repeated refinement iterations
Solution Approach 1:
The patent applies partial cyclic compensation by performing a limited number of refinement iterations rather than exhaustive cycles. The system evaluates whether additional compensation iterations are necessary based on the magnitude of corrections applied, stopping the cyclic process when convergence is achieved or when further iterations would yield diminishing returns, thus balancing precision improvement against time consumption.
Data Source
AI summary
Methods and biosensor systems for compensating an analyte measurement are provided. The methods and systems determine a secondary output signal based on the measured primary output signal in order to better approximate the effects of an extraneous stimulus on the primary output signal under actual measurement conditions. The methods and systems according to the present disclosure may provide a more accurate analyte measurement, and may be particularly useful in detecting and compensating an analyte measurement during an off-condition.