Patent ID: 8657747
Filing Date: 2014-02-25
Classification: A61B,G16H,Y02A

Abstract:
1. A method for analyzing data from an analyte sensor, the method comprising: receiving data from the analyte sensor, the data comprising at least one sensor data point; receiving reference data from a reference analyte monitor, the reference data comprising at least one reference data point; and determining, using a processor module, an acceptability of the sensor data or the reference data by subjecting the reference data and substantially time-corresponding sensor data to a boundary test utilizing boundaries defined by predetermined minimum and maximum a priori slope information and a priori baseline information derived from a regression analysis of data obtained prior to insertion of the continuous analyte sensor from at least one of in vitro testing of at least one other continuous analyte sensor or in vivo testing of at least one other continuous analyte sensor; subsequently forming a conversion function in that defines a slope and a baseline only if the reference data and the substantially time-corresponding sensor data fall within the boundaries, wherein the slope is a calculated amount of electrical current produced by a predetermined amount of the measured analyte, wherein the baseline is a calculated signal contribution due to factors other than the analyte concentration, and wherein both the slope and the baseline are calculated in real-time based on a regression analysis using an equation y=m×+b, wherein x includes the reference data that fell within the boundaries and y includes the substantially time-corresponding sensor data that fell within the boundaries, wherein m is the slope and b is the baseline; and converting the at least one sensor data point to an estimated glucose valued based on the conversion function.