Abstract: A method is provided for continually or continuously measuring the concentration of target chemical analytes present in a biological system, and processing analyte-specific signals to obtain a measurement value that is closely correlated with the concentration of the target chemical analyte in the biological system. One important application of the invention involves a method for signal processing in a system for monitoring blood glucose values.

Abstract: Described herein are microprocessors, devices, and methods useful for sweat and/or temperature detection that correlate more closely with changes in amperometric or charge signals related to analyte amount or concentration. The present invention provides methods for the establishment of more accurate sweat and/or temperature thresholds and new methods of compensation, such as correcting for the effects of sweat and rapidly changing temperature on measured analyte values. The present invention reduces the number of skipped or unuseable readings provided by analyte monitoring devices during periods of sweating or changing temperatures. Further, the present invention provides methods for improving the accuracy of reported readings of analyte amount or concentration. In one aspect, the present invention provides passive collection reservoir/sensing devices used in combination with active collection reservoir/sensing devices for detection of sweat and/or temperature related parameters.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: Described herein are microprocessors, devices, and methods useful for sweat and/or temperature detection that correlate more closely with changes in amperometric or charge signals related to analyte amount or concentration. The present invention provides methods for the establishment of more accurate sweat and/or temperature thresholds and new methods of compensation, such as correcting for the effects of sweat and rapidly changing temperature on measured analyte values. The present invention reduces the number of skipped or unuseable readings provided by analyte monitoring devices during periods of sweating or changing temperatures. Further, the present invention provides methods for improving the accuracy of reported readings of analyte amount or concentration. In one aspect, the present invention provides passive collection reservoir/sensing devices used in combination with active collection reservoir/sensing devices for detection of sweat and/or temperature related parameters.

Abstract: The present invention relates to methods to increase the number of analyte-related signals used to provide analyte measurement values, e.g., when two or more analyte-related signals are used to obtain a single analyte measurement value a “rolling” value based on the two or more signals can be employed. In another aspect, interpolation and/or extrapolation methods are used to estimate unusable, missing or error-associated analyte-related signals. Further, interpolation and extrapolation of values are employed in another aspect of the invention that reduces the incident of failed calibrations. Further, the invention relates to methods, which employ gradients and/or predictive algorithms, to provide an alert related to analyte values exceeding predetermined thresholds.

Abstract: The present invention relates to methods of formulating analyte data databases, the databases themselves, and methods of manipulating the same. In one aspect the present invention includes the formulation of analyte data points, derived data, and data attributes databases comprising data points collected using an analyte monitoring device capable of frequent monitoring of analyte concentrations or amounts. Such data points may comprise acquired data (e.g., values corresponding to analyte concentrations or amounts as measured by said analyte monitoring device). These data points are then associated with one or more relevant data attributes. The resulting databases may be manipulated to determine relationships among the components of the database.