Multi-rate analyte sensor data collection with sample rate configurable signal processing
US-12171548-B2 · Dec 24, 2024 · US
US9402569B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9402569-B2 |
| Application number | US-201113239265-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 21, 2011 |
| Priority date | Oct 28, 2010 |
| Publication date | Aug 2, 2016 |
| Grant date | Aug 2, 2016 |
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The subject matter disclosed herein relates to systems, methods and/or devices for calibrating sensor data to be used in estimating a blood glucose concentration. A relationship between sensor signal values and reference readings may be used to estimate a relationship between sensor signal values and measurements of blood glucose concentration.
Opening claim text (preview).
What is claimed is: 1. A method comprising: obtaining a sequence of blood glucose reference measurements from a patient; deriving, using an electronic computing device, a non-linear mapping between sensor signal values (ISIG) and blood glucose concentration in said patient to calibrate a glucose monitor for observing glucose characteristics of said patient, said non-linear mapping based, at least in part, on temporal pairings of at least some of said blood glucose reference measurements with said sensor signal values, wherein said deriving said non-linear mapping further comprises deriving a piece-wise function that maps sensor signal values to blood-glucose concentration, the piece-wise function comprising at least one linear portion and at least one non-linear portion, the at least one non-linear portion being derived at least in part by determining coefficients e, f, and g corresponding to the following function: blood-glucose reference measurement=( I SIG++ e ) f ; and with said electronic computing device, using, at least in part, said determined coefficients e, f and g in calibrating subsequent sensor signal values received by said glucose monitor to provide said patient one or more estimated blood glucose levels corresponding to said subsequent sensor signal values. 2. The method of claim 1 , and further comprising determining coefficients e, f, and g based, at least in part, on said temporal pairings. 3. The method of claim 1 , and further comprising, for values in said non-linear portion, obtaining a measurement of blood glucose concentration by applying an offset to a function defining said linear portion. 4. An apparatus comprising: a sensor to generate signal values (ISIG) responsive to a blood glucose concentration in a body; and a special purpose computing apparatus programmed to: obtain a sequence of blood glucose reference measurements taken from said body; and derive a non-linear mapping between said signal values and blood glucose concentration in said body to calibrate a glucose monitor for observing blood glucose characteristics in said body based, at least in part, on temporal pairings of at least some of said blood glucose reference measurements with said signal values, wherein said non-linear mapping is derived by deriving a piece-wise function that maps sensor signal values to blood glucose concentration, the piece-wise function comprising at least one linear portion and at least one non-linear portion, the at least one non-linear portion being derived at least in part by a determination of coefficients e, f, and g corresponding to the following function: blood-glucose reference measurement=( I SIG+ e ) f +g; and use, at least in part, said determined coefficients e, f and g in calibrating subsequent signal values received by said glucose monitor to provide one or more estimated blood glucose levels corresponding to said subsequent signal values. 5. The apparatus of claim 4 , wherein said special purpose computing apparatus is further programmed to obtain a measurement of blood glucose concentration by applying an offset to a function defining said linear portion for values in said non-linear portion. 6. The apparatus of claim 4 , wherein said determination of coefficients e, f, and g is based, at least in part, on said temporal pairings. 7. An article comprising: a non-transitory storage medium having machine-readable instructions stored thereon which are executable by a special purpose computing apparatus to: obtain a sequence of blood glucose reference measurements taken from a body; and derive a non-linear mapping between sensor signal values (ISIG) and blood glucose concentration in said body to calibrate a glucose monitor for observing blood glucose characteristics in said body based, at least in part, on temporal pairings of at least some of said blood glucose reference measurements with said sensor signal values, wherein said non-linear mapping is derived by deriving a piece-wise function that maps sensor signal values to blood-glucose concentration, the piece-wise function comprising at least one linear portion and at least one non-linear portion, wherein the at least one non-linear portion is derived at least in part by a determination of parameters e, f, and g corresponding to the following function: blood-glucose reference measurement=( I SIG+ e ) f +g; and use, at least in part, said determined coefficients e, f, and g to calibrate subsequent sensor signal values received by said glucose monitor to provide one or more estimated blood glucose levels corresponding to said subsequent sensor signal values. 8. The article of claim 7 , wherein said instructions are further executable by said special purpose computing apparatus to obtain a measurement of blood glucose concentration by applying an offset to a function defining said linear portion for values in said non-linear portion. 9. The article of claim 7 , wherein a determination of parameters e, f, and g is based, at least in part, on said temporal pairings. 10. An apparatus comprising: means for obtaining a sequence of blood glucose reference measurements from a body; and means for deriving a non-linear mapping between sensor signal values (ISIG) and blood glucose concentration in said body to calibrate a glucose monitor for observation of blood glucose characteristics in said body based, at least in part, on temporal pairings of at least some of said blood glucose reference measurements with said sensor signal values, wherein said means for deriving said non-linear mapping further comprises means for deriving a piece-wise function that maps sensor signal values to blood-glucose concentration, the piece-wise function comprising at least one linear portion and at least one non-linear portion, wherein the at least one non-linear portion is derived at least in part by a determination of parameters e, f, and g corresponding to the following function: blood-glucose reference measurement=( I SIG+ e ) f+g ; and means for using, at least in part, said determined coefficients e, f, and g to calibrate subsequent sensor signal values received by said glucose monitor to provide one or more estimated blood glucose levels corresponding to said subsequent sensor signal values. 11. The apparatus of claim 10 , and further comprising means for determining parameters of said exponential expression based, at least in part, on said temporal pairings. 12. The apparatus of claim 10 , and further comprising, for values in said non-linear portion, means for obtaining a measurement of blood glucose concentration by applying an offset to a function defining said linear portion.
using differentiation including higher order derivatives · CPC title
invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors · CPC title
invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors (A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence) · CPC title
for measuring glucose, e.g. by tissue impedance measurement · CPC title
of calibration, e.g. protocols for calibrating sensors · CPC title
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