Claims Analysis
Total Claims: 17
Claim 1
Independent Claim
170 words
A process for determining glucose concentration in blood, comprising: determining, from a sample of subcutaneous fluid, a subcutaneous glucose concentration, and from the subcutaneous glucose concentration, a glucose concentration in blood by calculation (i) based on a model accounting for mass transfer of the glucose from blood to a subcutaneous region and uptake of the glucose by subcutaneous tissue, and (ii) utilizing a regularization technique in the calculation, wherein the blood glucose concentration is determined from the subcutaneous glucose concentration using the relationship: S t = k m A ( B - S ) - Vk r ′ S K m + S ′ where V is the volume of the sensor, S is the subcutaneous glucose concentration, B is the blood glucose concentration, A is the surface area of the region surrounding the sensor, k m is a mass transfer coefficient, K m is a Michaelis-Menten constant, and k r ′ is the reaction rate constant for uptake of glucose by the subcutaneous tissue.
Claim 2
Dependent Claim
170 words
A process for determining glucose concentration in blood, comprising: determining, from a sample of subcutaneous fluid, a subcutaneous glucose concentration, and from the subcutaneous glucose concentration, a glucose concentration in blood by calculation (i) based on a model accounting for mass transfer of the glucose from blood to a subcutaneous region and uptake of the glucose by subcutaneous tissue, and (ii) utilizing a regularization technique in the calculation, wherein the blood glucose concentration is determined from the subcutaneous glucose concentration using the relationship: S t = k m A ( B - S ) - Vk r ′ S K m + S ′ where V is the volume of the sensor, S is the subcutaneous glucose concentration, B is the blood glucose concentration, A is the surface area of the region surrounding the sensor, k m is a mass transfer coefficient, K m is a Michaelis-Menten constant, and k r ′ is the reaction rate constant for uptake of glucose by the subcutaneous tissue.
Claim 3
Dependent Claim
30 words
The process of claim 1 , further comprising determining the concentration of the glucose in the subcutaneous fluid using a sensing device comprising an electrochemical sensor having a working electrode.
Claim 4
Dependent Claim
23 words
The process of claim 2 , further comprising subcutaneously implanting the working electrode to generate a signal related to the subcutaneous glucose concentration.
Claim 5
Dependent Claim
29 words
The process of claim 2 , comprising determining the concentration of the glucose in the subcutaneous fluid using the sensing device and a processor coupled to the sensing device.
Claim 6
Dependent Claim
24 words
The process of claim 4 , wherein the processor comprises a display coupled to the processor for displaying the glucose concentration in the blood.
Claim 7
Dependent Claim
45 words
The process of claim 5 , further comprising a transmitter coupled to the electrochemical sensor and a receiver coupled to the processor, wherein the processor and receiver are disposed in a housing adapted for remote reception of signals from the electrochemical sensor via the transmitter.
Claim 8
Dependent Claim
23 words
The process of claim 4 , further comprising an alarm coupled to the processor for alerting a user based on the glucose concentration.
Claim 9
Dependent Claim
23 words
The process of claim 4 , wherein the processor is disposed in a housing adapted for placement on the skin of an animal.
Claim 10
Dependent Claim
103 words
A process for determining analyte concentration in a first body fluid, comprising: obtaining measurements of an analyte concentration in a second body fluid, different from the first body fluid; and determining an analyte concentration estimate in the first fluid from the measurements by minimizing the relation: f[b]=x 2 [b]+λΨ[b], wherein b is a vector representing analyte concentration in the first body fluid, x 2 [b] is a function represented a fit between (a) a model of analyte transfer from the first body fluid to the second body fluid and (b) the measurements, λ is a weighting function, and Ψ[b] is a regularization function.
Claim 11
Dependent Claim
103 words
A process for determining analyte concentration in a first body fluid, comprising: obtaining measurements of an analyte concentration in a second body fluid, different from the first body fluid; and determining an analyte concentration estimate in the first fluid from the measurements by minimizing the relation: f[b]=x 2 [b]+λΨ[b], wherein b is a vector representing analyte concentration in the first body fluid, x 2 [b] is a function represented a fit between (a) a model of analyte transfer from the first body fluid to the second body fluid and (b) the measurements, λ is a weighting function, and Ψ[b] is a regularization function.
Claim 12
Dependent Claim
11 words
The process of claim 9 , wherein the analyte is glucose.
Claim 13
Dependent Claim
21 words
The process of claim 10 , wherein the first body fluid is blood and the second body fluid is subcutaneous fluid.
Claim 14
Dependent Claim
40 words
The process of claim 11 , wherein obtaining measurements of an analyte concentration comprises subcutaneously implanting a working electrode of a glucose sensor into an animal; and determining a subcutaneous glucose concentration from a signal generated at the working electrode.
Claim 15
Dependent Claim
104 words
The process of claim 10 , wherein the model is based on the relationship: V S t = k m A ( B - S ) - Vk r ′ S K m + S ′ where V is the volume of the sensor, S is the subcutaneous glucose concentration, B is the blood glucose concentration, A is the surface area of the region surrounding the sensor, k m is a mass transfer coefficient, K m is a Michaelis-Menten constant, and k r ′ is the reaction rate constant for uptake of glucose by the subcutaneous tissue.
Claim 16
Dependent Claim
14 words
The process of claim 9 , wherein Ψ[b] is selected to provide first-order regularization.
Claim 17
Dependent Claim
14 words
The process of claim 9 , wherein Ψ[b] is selected to provides second-order regularization.