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. A method for detecting a transient error in a body fluid sample taken from a patient, the method comprising: in a clinical analyzer provided with an equation representing a response curve of a sensor and for determining a concentration of an analyte in a body fluid sample, and the equation including at least one coefficient describing any one of a curvature of the response curve and a slope of the response curve, comparing the at least one coefficient to a range of coefficients, the range of coefficients including coefficients of response curves corresponding to known concentrations of the analyte; detecting a transient error in the body fluid sample based on the comparison; and wherein the comparison and the detection being performed by a processing transient error detector executing computer readable instructions embodied in a non-transitory computer-readable medium. 2. The method of claim 1 wherein the equation representing the response curve is any one of logarithmic equation and quadratic equation. 3. The method of claim 1 wherein the equation is associated with the analyte being sensed by the sensor. 4. The method of claim 1 wherein the comparing includes comparing a coefficient describing the curvature of the response curve to the range of coefficients and comparing a coefficient describing the slope of the 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 response curve and the comparison of the coefficient describing the slope of the response curve. 5. The method of claim 1 wherein the range of coefficients for a given concentration of analyte includes a mean coefficient determined from a mean of coefficients of 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. 6. The method of claim 5 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. 7. The method of claim 5 wherein the lower limit and the upper limit of the range of coefficients are invariant to changes in concentration of the analyte. 8. The method of claim 5 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. 9. The method of claim 5 further comprising revising the range of coefficients based on the coefficient of the response curve corresponding to the concentration of the analyte in the body fluid sample. 10. The method of claim 1 wherein the known concentrations of the analyte are determined from at least one of previously collected body fluid samples and standardized solutions. 11. The method of claim 1 wherein the range of coefficients depends on a matrix of the body fluid sample. 12. The method of claim 1 further comprising based on a result of the detection, determining the concentration of the analyte in the body fluid sample based on the equation. 13. The method of claim 1 further comprising determining the concentration of the analyte in the body fluid sample based the equation; and wherein detecting the transient error includes detecting the transient error in the determined concentration of the analyte based on the comparison. 14. The method of claim 1 further comprising based on the detection, reporting to a user of the analyzer that a transient error is detected in the body fluid sample. 15. The method of claim 14 wherein the reporting includes to providing a visual alarm, an audible alarm or a combination thereof to the user. 16. The method of claim 1 further comprising based on the detection, stopping a sample measurement process including determining the concentration of the analyte. 17. The method of claim 1 further comprising based on the detection, reporting to a user of the analyzer that the body fluid sample may be compromised by a transient error; and continuing a sample measurement process including determining the concentration of the analyte. 18. A system for detecting a transient error in a body fluid sample, the system comprising: a memory having computer executable instructions thereupon; at least one interface receiving an equation representing a response curve of a sensor and for determining a concentration of an analyte in a body fluid sample, and the equation including at least one coefficient describing any one of a curvature of the response curve and a slope of the response curve; and a transient error detector coupled to the memory and the at least one interface, the transient error detector configured to execute the instructions to: compare the at least one coefficient to a range of coefficients, the range of coefficients including coefficients of response curves corresponding to known concentrations of the analyte; and detect a transient error in the body fluid sample based on the comparison. 19. The system of claim 18 wherein the equation representing the response curve is any one of logarithmic equation and quadratic equation. 20. The system of claim 18 wherein the range of coefficients for a given concentration of analyte includes a mean coefficient determined from a mean of coefficients of 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. 21. A tangible non-transitory computer-readable storage medium having computer readable instructions stored therein for detecting a transient error in a body fluid sample, which when executed by one or more processors provided with an equation representing a response curve of a sensor and for determining a concentration of an analyte in a body fluid sample, and the equation including at least one coefficient describing any one of a curvature of the response curve and a slope of the response curve, cause the one or more processors to: compare the at least one coefficient to a range of coefficients, the range of coefficients including coefficients of response curves corresponding to known concentrations of the analyte; and detect a transient error in the body fluid sample based on the comparison. 22. The tangible non-transitory computer-readable storage medium of claim 21 wherein the equation representing the response curve is any one of logarithmic equation and quadratic equation. 23. The tangible non-transitory computer-readable storage medium of claim 21 wherein the range of coefficients for a given concentration of analyte includes a mean coefficient determined from a mean of coefficients of 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.