Patent ID: 9113833
Filing Date: 2015-08-25
Classification: A61B,C12Q,G01N,G16H

Abstract:
1. A method for determining and improving usefulness of the curve fitting equation obtained from data from a sensor, the method comprising; a) receiving, from the sensor, data signals generated in response to being exposed to an analyte within a sample; b) recording data points associated with the data signals; c) selecting a series of data points corresponding to a portion of a kinetic region time range from the recorded data points; d) determining a curve fitting equation that fits the series of data as a logarithmic scale of time, wherein the curve fitting equation is of the form s(t)=a*(log(t))^2−2aV(log(t))+c, and V is a log of a time at which extremum occurs, wherein t represents time and a and c are the fit parameters for second order polynomial; e) determining an outlier candidate with a largest residual; f) comparing a residual of the outlier candidate with the largest residual to a predetermined residual limit; g) classifying the outlier candidate with the largest residual as an outlier if the residual of the outlier candidate with the largest residual is greater than the predetermined residual limit; h) obtaining a measure of effect of the outlier on the parameters of the curve fitting equation; i) comparing the measure of the effect of the outlier to a predetermined measure limit; j) incrementing an outlier count, if the measure of the effect of the outlier is greater than the predetermined measure limit; k) comparing the outlier count to a predetermined outlier number limit, if the measure of the effect of the outlier is greater than the predetermined measure limit; and l) removing the outlier from the data points, if the measure of the effect of the outlier is greater than the predetermined measure limit, resulting in an analyzed set of data points, thereby increasing sample throughput.