Abstract: Apparatus and methods for mitigation of calibration error and determination of mean absolute relative difference (MARD) values in for example a blood analyte sensor or system. In one exemplary embodiment, the apparatus and methods include i) intelligently collecting reference data in order to enhance a calibration calculation, ii) identification and compensation of systematic error based on spatial heterogeneity between sensors of a differential sensor pair, and/or iii) identification/selection of portions of available calibration points that provide calibration curves with the best MARD values. The apparatus and methods can provide more accurate blood analyte sensor calculations and improved user experience.

Abstract: Apparatus and methods for reducing error due to spatial arrangement of sensor elements in a parameter sensor such as a physiologic analyte sensor. In one exemplary embodiment, the analyte sensor is configured to measure an analyte of a living being (e.g., blood glucose), and the apparatus and methods employ determination of a blood analyte concentration based on a prescribed relationship of N1/N2—i.e., N1 analyte modulated sensing elements (e.g., glucose electrodes) associated with and proximate to N2 background sensing elements of the sensor—in order to compensate for response differences due to spatial arrangement of the sensor elements or “spatial mismatch.” This configuration of sensor elements and method of determining blood analyte concentration (based on multiple background signal electrodes) enables increased accuracy of the sensor.