An approach for detecting a transient error in a body fluid sample based on the shape of a response curve of a sensor is provided. The response curve is represented by an equation including at least one coefficient describing a curvature or slope of the response curve. The approach includes comparing the coefficient to a range of coefficients which includes coefficients of response curves corresponding to known analyte concentrations. The approach further includes detecting a transient error based on the comparison. In some examples of the approach, the comparison and detection are performed by a processing transient error detector executing computer readable instructions embodied in a non-transitory computer-readable medium. Other examples of the approach determine a concentration of the analyte based on the equation. Advantageously, various examples of the approach can expedite detection of transient errors at the time of measuring and before reporting sample result.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-23. (canceled) 24. A system, comprising: an automated clinical analyzer, comprising: a processing transient error detector; a memory in communication with the processing transient error detector, the memory storing a range of coefficients library and a transient error detecting application, the transient error detecting application including a comparison module; and an interface coupled to the automated clinical analyzer, the interface configured for receiving a mathematical expression representing a response curve of a sensor coupled to the automated clinical analyzer, the equation including at least one coefficient; wherein the comparison module is executable by the processing transient error detector to compare the at least one coefficient to a range of coefficients in the range or coefficients library, the range of coefficients including coefficients of response curves of the sensor corresponding to known concentrations of the analyte. 25. The system of claim 24, wherein the transient error detecting application comprises a detection module, the detection module executable by the processing transient error detector to determine a concentration of an analyte in a body fluid sample; and wherein the comparison module is executable by the processing transient error detector to detect a transient error in the body fluid sample based on the comparison. 26. The system of claim 24, wherein the mathematical expression comprises any one of a logarithmic relationship and a quadratic relationship. 27. The system of claim 24, wherein the comparing includes comparing a coefficient describing the curvature of the sample response curve to the range of coefficients and comparing a coefficient describing the slope of the sample response curve to a second range of coefficients different than the range of coefficients; and wherein the detecting includes detecting the transient error in the body fluid sample based on the comparison of the coefficient describing the curvature of the sample response curve and the comparison of the coefficient describing the slope of the sample response curve. 28. The system of claim 24, wherein the range of coefficients for a given concentration of analyte includes a mean coefficient determined from a mean of coefficients of the predetermined response curves corresponding to the given concentration of analyte; a lower limit defined by a negative number of standard deviations from the mean coefficient; and an upper limit defined by a positive number of standard deviations from the mean coefficient. 29. The system of claim 28, wherein an absolute value of the negative number of standard deviations from the mean coefficient and an absolute value of the positive number of standard deviations from the mean coefficient are different. 30. The system of claim 28, wherein the lower limit and the upper limit of the range of coefficients are invariant to changes in concentration of the analyte. 31. The system of claim 28, wherein at least one of the lower limit and the upper limit of the range of coefficients varies with changes in concentration of the analyte. 32. The system of claim 28, wherein the transient error detection application is executable by the processing transient error detector to revise the range of coefficients based on the coefficient of the sample response curve corresponding to the concentration of the analyte in the body fluid sample. 33. The system of claim 24, wherein the known concentrations of the analyte are determined from at least one of previously collected body fluid samples and standardized solutions. 34. The system of claim 24 wherein the range of coefficients depends on a matrix of the body fluid sample. 35. An automated clinical analyzer comprising: A transient error detector comprising a comparison module communicatively coupled to a detection module; and, an interface for receiving equations representing sensor response curves, wherein the interface receives the equations as they are determined by an analyte concentration measurement application. 36. The automated clinical analyzer of claim 35, further comprising a range of coefficients library, said library provides a range of coefficients for a particular analyte used to detect a transient error in the body fluid sample. 37. The automated clinical analyzer of claim 35, further comprising a processor. 38. The automated clinical analyzer of claim 35, further comprising a memory, said memory stores the analyte concentration measurement application. 39. The automated clinical analyzer of claim 35, further comprising an alarm mechanism. 40. The automated clinical analyzer of claim 35, further comprising one or more sensors, said sensors configured to communicate with the analyte concentration measurement application. 41. The automated clinical analyzer of claim 40, wherein said one or more sensors are electrochemical sensors. 42. The automated clinical analyzer of claim 35, wherein said analyte concentration measurement application further comprises one or more of a sensor communication module, a data point reporting module, a data point selection module, a curve fitting module, an extrapolation module, a validation module, an analyte concentration reporting module or a curve fit quality module. 43. The automated clinical analyzer of claim 42, wherein the data point recording module records a measurement of the data signal after random or variable periods of time.