Formulation and manipulation of databases of analyte and associated values
First Claim
1. A method of formulating one or more analyte data databases, said method comprising;
- collecting analyte measurement values from one or more subject using an analyte monitoring device, comprising a sensing device, for each subject; and
said analyte monitoring device providing (i) frequent analyte measurement values, wherein said analyte measurement values comprise acquired data points that are specifically related to analyte amount or concentration in the subject, (ii) one or more data attributes, and (iii) one or more error messages related to skipped analyte measurement values; and
formulating said one or more analyte data databases by associating each of said data points and each of said one or more error messages related to skipped analyte measurement values with one or more data attributes.
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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.
271 Citations
53 Claims
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1. A method of formulating one or more analyte data databases, said method comprising;
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collecting analyte measurement values from one or more subject using an analyte monitoring device, comprising a sensing device, for each subject; and
said analyte monitoring device providing (i) frequent analyte measurement values, wherein said analyte measurement values comprise acquired data points that are specifically related to analyte amount or concentration in the subject, (ii) one or more data attributes, and (iii) one or more error messages related to skipped analyte measurement values; and
formulating said one or more analyte data databases by associating each of said data points and each of said one or more error messages related to skipped analyte measurement values with one or more data attributes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 31, 32, 33, 38, 39, 40, 41, 42, 44, 45)
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15. One or more analyte data databases, comprising
data points collected using an analyte monitoring device, comprising a sensing device, wherein said analyte monitoring device provides (i) frequent analyte measurement values, and said analyte measurement values comprise data points that are specifically related to analyte amount or concentration, and (ii) one or more data attributes; -
one or more data attributes; and
one or more error messages relate to skipped analyte measurement values, wherein the data points and each of said one or more error messages related to skipped analyte measurement values are associated with one or more relevant data attributes. - View Dependent Claims (16, 17, 18, 19, 21, 22, 23, 25, 26, 27, 28, 29, 30, 34, 35, 36, 37, 46, 47, 48, 49, 50, 51, 52, 53)
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20. (Canceled)
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24. (Canceled)
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43. The method of claim 43, wherein said one or more data identifiers is selected from the group consisting of maximum analyte values, minimum analyte values, hypoglycemic analyte values, and hyperglycemic analyte values.
Specification