CA2480550A1 - Improving performance of an analyte monitoring device - Google Patents

Improving performance of an analyte monitoring device Download PDF

Info

Publication number
CA2480550A1
CA2480550A1 CA002480550A CA2480550A CA2480550A1 CA 2480550 A1 CA2480550 A1 CA 2480550A1 CA 002480550 A CA002480550 A CA 002480550A CA 2480550 A CA2480550 A CA 2480550A CA 2480550 A1 CA2480550 A1 CA 2480550A1
Authority
CA
Canada
Prior art keywords
microprocessors
analyte
glucose
measured charge
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002480550A
Other languages
French (fr)
Other versions
CA2480550C (en
Inventor
Miroslaw Bartkowiak
Wesley S. Harper
Eray Kulcu
Matthew J. Lesho
Janet A. Tamada
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Animas Technologies LLC
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CA2738579A priority Critical patent/CA2738579C/en
Publication of CA2480550A1 publication Critical patent/CA2480550A1/en
Application granted granted Critical
Publication of CA2480550C publication Critical patent/CA2480550C/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7242Details of waveform analysis using integration
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0531Measuring skin impedance
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/28Electrolytic cell components
    • G01N27/30Electrodes, e.g. test electrodes; Half-cells
    • G01N27/327Biochemical electrodes, e.g. electrical or mechanical details for in vitro measurements
    • G01N27/3271Amperometric enzyme electrodes for analytes in body fluids, e.g. glucose in blood
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10TTECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
    • Y10T436/00Chemistry: analytical and immunological testing
    • Y10T436/14Heterocyclic carbon compound [i.e., O, S, N, Se, Te, as only ring hetero atom]
    • Y10T436/142222Hetero-O [e.g., ascorbic acid, etc.]
    • Y10T436/143333Saccharide [e.g., DNA, etc.]
    • Y10T436/144444Glucose

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. Further, the present invention relates to algorithms for improved optimization of parameters for use in prediction models that require optimization of adjustable parameters.

Claims (67)

1. One or more microprocessors, comprising programming to control obtaining a measured charge signal over time, comprising a measured charge signal response curve specifically related to the amount or concentration of the glucose extracted from the subject, wherein said measured charge signal response curve comprises a kinetic region;
using (i) a mathematical model as presented in Eq. (3A) wherein "Q" represents the charge, "t" represents the elapsed time, "S o" is a fitted parameter, "c1" and "c2" are pre-exponential terms that correspond to the electric current contribution at t=0 for first and second reactions, respectively, "k1"
and "k2" are rate constants for the first and second reactions, respectively, and (ii) an error minimization method, to iteratively estimate values of parameters S o, c1, c2, k1, and k2 using said model and error minimization method to fit a predicted response curve to said kinetic region of said measured charge signal response curve, wherein (a) the error minimization method provides a calculated error based on differences between kinetic regions of said predicted and measured charge signal response curves and (b) said estimating is iteratively performed until the calculated error between the predicted and measured charge signal response curves is minimized or until no further statistically significant change is seen in the calculated error, at which time iterative estimation of the parameters is stopped, said iterative estimation and error minimization results in estimated values of said parameters; and correlating 1/k2 with a glucose amount or concentration to provide a measurement of the amount or concentration of the glucose in the subject.
2. The one or more microprocessors of claim 1, further programmed to control operating a sensing device for obtaining a measured charge signal over time.
3. The one or more microprocessors of claim 1, further programmed to control a measurement cycle comprising (a) operating a sampling device for extracting a sample from the subject, said sample comprising glucose, and (b) operating a sensing device for obtaining a measured charge signal over time.
4. The one or more microprocessors of claim 3, further programmed to perform a series of measurement cycles resulting in a series of measured charge signal response curves.
5. The one or more microprocessors of claim 4, wherein after estimation of each predicted response curve for each measured charge signal response curve in the series of measurements an amount or concentration of the glucose is determined based on each estimated parameter 1/k2.
6. The one or more microprocessors of any of claims 1-5, wherein correlating 1/k2 with a glucose amount or concentration to provide a measurement of the amount or concentration of glucose is performed by a method comprising applying a calibration value.
7. The one or more microprocessors of claim 6, wherein said correlating is carried out as follows:

where Glu t is glucose concentration at time t, Glu cal is glucose concentration at a time of calibration that corresponds to an estimated 1/k2 at the time of calibration, and (1/k2)t is the estimated 1/k2 at time t.
8. The one or more microprocessors of any of claims 1-7, wherein said measured charge signal response curve was obtained by integration of a measured current signal response curve, and said one or more microprocessors are further programmed to control said integration.
9. The one or more microprocessors of claim 8, wherein before said integration is performed, said one or more microprocessors are further programmed to control a background subtraction correction of the measured current signal response curve.
10. The one or more microprocessors of claim 9, wherein said obtaining comprises extracting a sample comprising said glucose from the subject into a collection reservoir using a sampling device to obtain a concentration of the glucose in said reservoir and said one or more microprocessors are programmed to control operation of said sampling device.
11. The one or more microprocessors of claim 10, wherein the collection reservoir is in contact with a skin or mucosal surface of the subject and the glucose is extracted across said skin or mucosal surface.
12. The one or more microprocessors of claim 11, wherein glucose is extracted using an iontophoretic current applied to said skin or mucosal surface.
13. The one or more microprocessors of claim 12, wherein the collection reservoir comprises an enzyme that reacts with the extracted glucose to produce an electrochemically detectable signal.
14. The one or more microprocessors of claim 13, wherein the enzyme comprises glucose oxidase.
15. The one or more microprocessors of claim 13, wherein said electrochemically detectable signal is peroxide, said signal is detected at a reactive surface of a biosensor electrode, said detecting is accomplished using a sensing device, and said one or more microprocessors are further programmed to control operation of said sensing device.
16. The one or more microprocessors of claim 15, wherein said kinetic region of said measured charge signal response curve corresponds to a measurement time period of 0 to about 180 seconds.
17. An analyte monitoring system, comprising the one or more microprocessors of any of claims 1, 2; 6, 7, 8, or 9, and the sensing device used to obtain said measured charge signal response curve.
18. An analyte monitoring system, comprising the one or more microprocessors of any of claims 3, 4, 5, 8, 9, or 10-16;
the sampling device; and the sensing device used to obtain said measured charge signal response curve.
19. The monitoring system of claim 18, wherein the sampling device comprises a laser device.
20. The monitoring system of claim 18, wherein the sampling device comprises a sonophoretic device.
21. The monitoring system of claim 18, wherein the sampling device comprises an iontophoretic device.
22. A method of providing a glucose amount or concentration in a subject comprising obtaining a measured charge signal over time, comprising a measured charge signal response curve specifically related to the amount or concentration of the glucose extracted from the subject, wherein said measured charge signal response curve comprises a kinetic region;
using (i) a mathematical model as presented in Eq.(3A) wherein "Q" represents the charge, "t" represents the elapsed time, "S o" is a fitted parameter, "c1" and "c2" are pre-exponential terms that correspond to the electric current contribution at t=0 for first and second reactions, respectively, "k1"
and "k2" are rate constants for the first and second reactions, respectively, and (ii) an error minimization method, to iteratively estimate values of parameters S o, c1, c2, k1, and k2 using said model and error minimization method to fit a predicted response curve to said kinetic region of said measured charge signal response curve, wherein (a) the error minimization method provides a calculated error based on differences between kinetic regions of said predicted and measured charge signal response curves, and (b) said estimating is iteratively performed until the calculated error between the predicted and measured charge signal response curves is minimized or until no further statistically significant change is seen in the calculated error, at which time iterative estimation of the parameters is stopped, said iterative estimation and error minimization results in estimated values of said parameters; and correlating 1/k2 with a glucose amount or concentration to provide a measurement of the amount or concentration of the glucose in the subject.
23. One or more microprocessors, comprising programming to control obtaining a measured charge signal over time using an electrochemical sensor, said measured charge signal comprising a measured charge signal response curve specifically related to an amount or concentration of glucose extracted from a subject, wherein said measured charge signal response curve comprises a kinetic region;
using (i) a mathematical model as presented in Eq.(3A) wherein "Q" represents the charge, "t" represents the elapsed time, "S o" is a fitted parameter, "c1" and "c2" are pre-exponential terms that correspond to the electric current contribution at t=0 for first and second reactions, respectively, "k1"
and "k2" are rate constants for the first and second reactions, respectively, and (ii) an error minimization method, to iteratively estimate values of parameters S o, c1, c2, k1, and k2 using said model and error minimization method to fit a predicted response curve to said kinetic region of said measured charge signal response curve, wherein (a) the error minimization method provides a calculated error based on differences between kinetic regions of said predicted and measured charge signal response curves, and (b) said estimating is iteratively performed until the calculated error between the predicted and measured charge signal response curves is minimized or until no further statistically significant change is seen in the calculated error, at which time iterative estimation of the parameters is stopped, said iterative estimation and error minimization results in estimated values of said parameters; and correcting for signal decay of the electrochemical sensor by multiplying the measured charge signal by a gain factor estimated from 1/c2.
24. The one or more microprocessors of claim 23, further programmed to control operating a sensing device for obtaining a measured charge signal over time.
25. The one or more microprocessors of claim 23, further programmed to control a measurement cycle comprising (a) operating a sampling device for extracting a sample from the subject, said sample comprising glucose and (b) operating a sensing device for obtaining a measured charge signal over time.
26. The one or more microprocessors of claim 25, further programmed to perform a series of measurement cycles resulting in a series of measured charge signal response curves.
27. The one or more microprocessors of claim 26, wherein after estimation of each predicted response curve for each measured charge signal response curve in the series of measurements, said one or more microprocessors are further programmed to determine a gain factor on each estimated parameter 1/c2 and multiply each gain factor by the measured charge signal corresponding to the predicted response curve from which the gain factor was estimated.
28. The one or more microprocessor of claim 27, wherein said series of measurements comprise measured charge signal response curves at times t, t-1, t-2, etc.
29. The one or more microprocessor of claim 28, further programmed to normalize and/or smooth two or more gain factors from the series of measurements to obtain a normalized and/or smoothed gain factor, and correct for signal decay of the electrochemical sensor by multiplying the measured charge signal at time t by said normalized and/or smoothed gain factor.
30. The one or more microprocessor of claim 29, wherein the series comprises at least five measured charge signal response curves, and said normalized and/or smoothed gain factor is calculated based on (1/c2)t, (1/c2)t-1, (1/c2)t-2, (1/c2)t-3, and (1/c2)t-4.
31. The one or more microprocessors of any of claims 23-30, wherein said measured charge signal response curve was obtained by integration of a measured current signal response curve, and said one or more microprocessors are further programmed to control said integration.
32. The one or more microprocessors of claim 31, wherein before said integration is performed said one or more microprocessors are further programmed to control a background subtraction correction of the measured current signal response curve.
33. The one or more microprocessors of claim 32, wherein said obtaining comprises extracting a sample comprising said glucose from the subject into a collection reservoir using a sampling device to obtain a concentration of the glucose in said reservoir and said one or more microprocessors are programmed to control operation of said sampling device.
34. The one or more microprocessors of claim 33, wherein the collection reservoir is in contact with a skin or mucosal surface of the subject and the glucose is extracted across said skin or mucosal surface.
35. The one or more microprocessors of claim 34, wherein glucose is extracted using an iontophoretic current applied to said skin or mucosal surface.
36. The one or more microprocessors of claim 35, wherein the collection reservoir comprises an enzyme that reacts with the extracted glucose to produce an electrochemically detectable signal.
37. The one or more microprocessors of claim 36, wherein the enzyme comprises glucose oxidase.
38. The one or more microprocessors of claim 37, wherein said electrochemically detectable signal is peroxide, said signal is detected at a reactive surface of the electrochemical sensor, said detecting is accomplished using a sensing device, and said one or more microprocessors are further programmed to control operation of said sensing device.
39. The one or more microprocessors of claim 38, wherein said kinetic region of said measured charge signal response curve corresponds to a measurement time period of 0 to about 180 seconds.
40. An analyte monitoring system, comprising the one or more microprocessors of any of claims 23, 24; or 31, and the sensing device used to obtain said measured charge signal response curve.
41. An analyte monitoring system, comprising the one or more microprocessors of any of claims 25-39;
the sampling device; and the sensing device used to obtain said measured charge signal response curve.
42. The monitoring system of claim 41, wherein the sampling device comprises a laser device.
43. The monitoring system of claim 41, wherein the sampling device comprises a sonophoretic device.
44. The monitoring system of claim 41, wherein the sampling device comprises an iontophoretic device.
45. A method of correcting for signal decay of an electrochemical sensor used for the detection of an amount or concentration of glucose in a subject, said method comprising obtaining a measured charge signal over time using said electrochemical sensor, said measured charge signal comprising a measured charge signal response curve specifically related to the amount or concentration of glucose extracted from the subject, wherein said measured charge signal response curve comprises a kinetic region;
using (i) a mathematical model as presented in Eq.(3A) wherein "Q" represents the charge, "t" represents the elapsed time, "S o" is a fitted parameter, "c1" and "c2" are pre-exponential terms that correspond to the electric current contribution at t=0 for first and second reactions, respectively, "k1"
and "k2" are rate constants for the first and second reactions, respectively, and (ii) an error minimization method, to iteratively estimate values of parameters S o, c1, c2, k1, and k2 using said model and error minimization method to fit a predicted response curve to said kinetic region of said measured charge signal response curve, wherein (a) the error minimization method provides a calculated error based on differences between kinetic regions of said predicted and measured charge signal response curves, and (b) said estimating is iteratively performed until the calculated error between the predicted and measured charge signal response curves is minimized or until no further statistically significant change is seen in the calculated error, at which time iterative estimation of the parameters is stopped, said iterative estimation and error minimization results in estimated values of said parameters; and correcting for signal decay of the electrochemical sensor by multiplying the measured charge signal by a gain factor estimated from 1/c2.
46. One or more microprocessors, comprising programming to control providing a measurement value related to glucose amount or concentration in a subject, a skin conductance reading associated in time with said glucose measurement value, and one or more further data integrity screens associated with said glucose measurement value; and accepting said measurement value when either (i) said skin conductance reading and said one or more further data integrity screens fall within predetermined acceptable ranges or within predetermined threshold values, or (ii) said skin conductance reading falls outside of predetermined acceptable range or beyond predetermined threshold value and said one or more further data integrity screens fall within predetermined acceptable ranges or with predetermined threshold values, or skipping said measurement value when said skin conductance reading falls outside of predetermined acceptable range or beyond predetermined threshold value and one or more of said one or more further data integrity screens fall outside of predetermined acceptable ranges or beyond predetermined threshold values.
47. The one or more microprocessors of claim 46, wherein said one or more further data integrity screens is selected from the group consisting of peak sensor current and background current.
48. An analyte monitoring system comprising, said one or more microprocessors of any of claims 46-47;
a sensing device used to provide said measurement value related to glucose amount or concentration; and a skin conductance measurement device used to provide said skin conductance reading, wherein said one or more microprocessors are further programmed to control operation of said sensing device and said skin conductance measurement device.
49. One or more microprocessors, comprising programming to control providing a measurement signal, comprising data points, related to glucose amount or concentration in a subject, wherein said data points typically have a monotonic trend; and evaluating said data points for one or more non-monotonic event, wherein (i) if the data points have an acceptable monotonic trend the measurement signal is accepted for further processing, or (ii) if the data points comprise one or more non-monotonic events then a percent contribution of said one or more non-monotonic events relative to total measurement signal is further evaluated, wherein if the percent contribution is less than a predetermined threshold value or falls within a predetermined range relative to total measurement signal, then the measurement signal is accepted for further processing; however, if the percent contribution is greater than a predetermined threshold value or falls outside a predetermined range relative to total measurement signal, then the measurement signal is not accepted for further processing and the measurement signal is skipped.
50. The one or more microprocessors of claim 49, wherein said measurement signal comprising data points that typically have a monotonic trend is either a current measurement or a charge measurement.
51. An analyte monitoring system, comprising said one or more microprocessors of any of claims 49-50; and a sensing device used to provide said measurement signal related to glucose amount or concentration.
52. One or more microprocessors, comprising programming to control:
qualifying whether an unusable analyte-related electrochemical current signal from a given measurement cycle should be replaced by interpolation or extrapolation by applying one or more of the following criteria: (i) if a sensor consistency check value for the measurement cycle falls within a predetermined acceptable range or within a predetermined threshold then the corresponding analyte-related signal may be replaced; (ii) if a change in background current for the measurement cycle falls within a predetermined acceptable range or within a predetermined threshold then the corresponding analyte-related signal may be replaced; (iii) if a change in temperature falls within a predetermined acceptable range or within a predetermined threshold then the corresponding analyte-related signal may be replaced; and replacing, in a series of analyte-related signals, an unusable analyte-related signal with an estimated signal by either:
(A) if one or more analyte-related signals previous to the unusable analyte-related signal and one or more analyte-related signals subsequent to the unusable analyte related signal are available, then interpolation is used to estimate the unusable, intervening analyte-related signal, or (B) if two or more analyte-related signals previous to the unusable analyte-related signal are available, then extrapolation is used to estimate the unusable, subsequent analyte-related signal;
wherein said series of analyte-related signals is obtained from an analyte monitoring device over time, and each analyte-related signal is related to an amount or concentration of analyte in a subject being monitored with the analyte monitoring device.
53. The one or more microprocessors of claim 52, wherein said analyte monitoring device comprises a sensing device and said one or more microprocessors are further programmed to control operation of said sensing device.
54. The one or more microprocessors of claim 53, wherein said analyte monitoring device further comprises a sampling device and said one or more microprocessors are further programmed to control operation of said sampling device.
55. An analyte monitoring system, comprising said one or more microprocessors of claim 53; and the sensing device used to provide said analyte-related signals.
56. An analyte monitoring system, comprising said one or more microprocessors of claim 54;
the sampling device; and the sensing device used to provide said analyte-related signals.
57. One or more microprocessors, comprising programming to control selecting a current integration method for an analyte-related current signal, wherein said analyte-related current signal comprises data points, a two sensor system is used for detecting said analyte-related current signal, each of said two sensors are electrochemical sensors, each sensor alternately acts as cathode and anode, a current signal, comprising data points, is detected in a half-measurement cycle from the anode and the cathode, and the analyte-related current signal is obtained from the cathode;
determining a background baseline for a given sensor when acting as cathode is determined from the last two data points of the current signal detected for the same sensor in a previous half-cycle when the sensor acted as an anode; and subtracting the background baseline from the analyte-related current signal and if over-subtraction of the analyte-related current signal occurs, employing one of the following integration methods to determine an analyte-related charge signal based on the analyte-related current signal: (i) stopping integration when the maximum integral is reached and using the maximum integral as the analyte-related charge signal;
or (ii) recalculating a background baseline based on the last two data points from the analyte-related current signal at the cathode, subtracting the recalculated background baseline from the analyte-related current signal, and integrating the background subtracted analyte-related current signal to obtain the analyte-related charge signal.
58. An analyte monitoring system, comprising said one or more microprocessors of claim 57; and a sensing device comprising said two sensor system.
59. The one or more microprocessors of any of claims 52 or 57, wherein the analyze-related signal is related to an amount or concentration of glucose.
60. One or more algorithms to optimize parameters for use in a model that requires optimization of adjustable parameters, said one or more algorithms comprising dividing a data set into a training set and a validation set;
training the model to determine the adjustable parameters using said training set;
stopping said training before the model parameters fully converged; and validating the parameters using the validation set, wherein said validated parameters are optimized parameters for use in the model.
61. The one or more algorithms of claim 60, wherein the model is a Mixtures of Experts (MOE) model.
62. The one or more algorithms of any of claims 60 or 61 wherein the data set comprise measurement values related to an amount or concentration of glucose.
63. One or more algorithms to optimize parameters for use in a prediction model used by an analyte monitoring device, wherein said prediction model requires optimization of adjustable parameters, said one or more algorithms comprising optimizing the parameters based on multiple analyte readings that quantify two or more regions corresponding to various levels of accuracy for the prediction model used by the analyte monitoring device, wherein one or more of the regions have an associated higher risk relative to one or more other regions, such that optimization of the parameters is carried out until error associated with the prediction model is minimized in the regions associated with higher risk.
64. The one or more algorithms of claim 63, wherein said optimizing comprises optimizing a distribution of paired points by (a) constructing an x-y plane of paired points representing (i) a target analyte amount or concentration measured independently as the x coordinate, and (ii) a corresponding model prediction of target analyte amount or concentration as a paired y coordinate, wherein the model is employed by an analyte monitoring device; (b) dividing the x-y plane divided into two or more regions corresponding to various levels of accuracy for the model prediction of the analyte monitoring device; (c) constructing individual mathematical risk functions (F) that assign a numerical value to each paired point (pp) for a particular region;
(d) summing the individual risk functions to provide a total risk function; and (e) minimizing the total risk function resulting in optimized parameters for the model.
65. The one or more algorithms of any of claims 63 or 64, wherein the model is a Mixtures of Experts (MOE) model.
66. The one or more algorithms of claim 65, wherein the analyte is glucose.
67. The one or more algorithms of claim 64, wherein (i) said two or more regions corresponding to various levels of accuracy for the prediction model comprise a hypoglycemic region, a glucose target range, and a hyperglycemic region, and (ii) said one or more of the regions that have an associated higher risk relative to one or more other regions comprise said hypoglycemic region and said hyperglycemic region.
CA2480550A 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device Expired - Lifetime CA2480550C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CA2738579A CA2738579C (en) 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US36708702P 2002-03-22 2002-03-22
US60/367,087 2002-03-22
US41398902P 2002-09-25 2002-09-25
US60/413,989 2002-09-25
PCT/US2003/008914 WO2003082098A2 (en) 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CA2738579A Division CA2738579C (en) 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device

Publications (2)

Publication Number Publication Date
CA2480550A1 true CA2480550A1 (en) 2003-10-09
CA2480550C CA2480550C (en) 2011-07-12

Family

ID=28678180

Family Applications (2)

Application Number Title Priority Date Filing Date
CA2738579A Expired - Lifetime CA2738579C (en) 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device
CA2480550A Expired - Lifetime CA2480550C (en) 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CA2738579A Expired - Lifetime CA2738579C (en) 2002-03-22 2003-03-21 Improving performance of an analyte monitoring device

Country Status (9)

Country Link
US (4) US20030235817A1 (en)
EP (2) EP1702561B1 (en)
JP (5) JP4083689B2 (en)
AT (2) ATE507766T1 (en)
CA (2) CA2738579C (en)
DE (2) DE60337038D1 (en)
ES (1) ES2357318T3 (en)
HK (2) HK1074371A1 (en)
WO (1) WO2003082098A2 (en)

Families Citing this family (331)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7192450B2 (en) 2003-05-21 2007-03-20 Dexcom, Inc. Porous membranes for use with implantable devices
US6862465B2 (en) 1997-03-04 2005-03-01 Dexcom, Inc. Device and method for determining analyte levels
US9155496B2 (en) 1997-03-04 2015-10-13 Dexcom, Inc. Low oxygen in vivo analyte sensor
US6001067A (en) 1997-03-04 1999-12-14 Shults; Mark C. Device and method for determining analyte levels
US7899511B2 (en) 2004-07-13 2011-03-01 Dexcom, Inc. Low oxygen in vivo analyte sensor
US8527026B2 (en) 1997-03-04 2013-09-03 Dexcom, Inc. Device and method for determining analyte levels
US6036924A (en) 1997-12-04 2000-03-14 Hewlett-Packard Company Cassette of lancet cartridges for sampling blood
US6391005B1 (en) 1998-03-30 2002-05-21 Agilent Technologies, Inc. Apparatus and method for penetration with shaft having a sensor for sensing penetration depth
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US6175752B1 (en) 1998-04-30 2001-01-16 Therasense, Inc. Analyte monitoring device and methods of use
US8480580B2 (en) 1998-04-30 2013-07-09 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US6949816B2 (en) 2003-04-21 2005-09-27 Motorola, Inc. Semiconductor component having first surface area for electrically coupling to a semiconductor chip and second surface area for electrically coupling to a substrate, and method of manufacturing same
DK1102559T3 (en) 1998-09-30 2003-09-29 Cygnus Therapeutic Systems Method and apparatus for predicting physiological values
US7890295B2 (en) 2000-02-23 2011-02-15 Medtronic Minimed, Inc. Real time self-adjusting calibration algorithm
US8641644B2 (en) 2000-11-21 2014-02-04 Sanofi-Aventis Deutschland Gmbh Blood testing apparatus having a rotatable cartridge with multiple lancing elements and testing means
US6560471B1 (en) 2001-01-02 2003-05-06 Therasense, Inc. Analyte monitoring device and methods of use
US7041468B2 (en) 2001-04-02 2006-05-09 Therasense, Inc. Blood glucose tracking apparatus and methods
US9427532B2 (en) 2001-06-12 2016-08-30 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US7316700B2 (en) 2001-06-12 2008-01-08 Pelikan Technologies, Inc. Self optimizing lancing device with adaptation means to temporal variations in cutaneous properties
US8337419B2 (en) 2002-04-19 2012-12-25 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US7344507B2 (en) 2002-04-19 2008-03-18 Pelikan Technologies, Inc. Method and apparatus for lancet actuation
CA2448905C (en) 2001-06-12 2010-09-07 Pelikan Technologies, Inc. Blood sampling apparatus and method
ATE485766T1 (en) 2001-06-12 2010-11-15 Pelikan Technologies Inc ELECTRICAL ACTUATING ELEMENT FOR A LANCET
WO2002100254A2 (en) 2001-06-12 2002-12-19 Pelikan Technologies, Inc. Method and apparatus for lancet launching device integrated onto a blood-sampling cartridge
US9226699B2 (en) 2002-04-19 2016-01-05 Sanofi-Aventis Deutschland Gmbh Body fluid sampling module with a continuous compression tissue interface surface
US7981056B2 (en) 2002-04-19 2011-07-19 Pelikan Technologies, Inc. Methods and apparatus for lancet actuation
ATE497731T1 (en) 2001-06-12 2011-02-15 Pelikan Technologies Inc DEVICE FOR INCREASING THE SUCCESS RATE OF BLOOD YIELD OBTAINED BY A FINGER PICK
US7025774B2 (en) 2001-06-12 2006-04-11 Pelikan Technologies, Inc. Tissue penetration device
US9795747B2 (en) 2010-06-02 2017-10-24 Sanofi-Aventis Deutschland Gmbh Methods and apparatus for lancet actuation
WO2003000127A2 (en) * 2001-06-22 2003-01-03 Cygnus, Inc. Method for improving the performance of an analyte monitoring system
US20030032874A1 (en) 2001-07-27 2003-02-13 Dexcom, Inc. Sensor head for use with implantable devices
US6702857B2 (en) 2001-07-27 2004-03-09 Dexcom, Inc. Membrane for use with implantable devices
US8010174B2 (en) 2003-08-22 2011-08-30 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9247901B2 (en) 2003-08-22 2016-02-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9282925B2 (en) 2002-02-12 2016-03-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US7613491B2 (en) 2002-05-22 2009-11-03 Dexcom, Inc. Silicone based membranes for use in implantable glucose sensors
US8260393B2 (en) 2003-07-25 2012-09-04 Dexcom, Inc. Systems and methods for replacing signal data artifacts in a glucose sensor data stream
US6998247B2 (en) * 2002-03-08 2006-02-14 Sensys Medical, Inc. Method and apparatus using alternative site glucose determinations to calibrate and maintain noninvasive and implantable analyzers
EP1702561B1 (en) 2002-03-22 2011-05-04 Animas Technologies LLC Improving performance for an analyte monitoring device
US8784335B2 (en) 2002-04-19 2014-07-22 Sanofi-Aventis Deutschland Gmbh Body fluid sampling device with a capacitive sensor
US7976476B2 (en) 2002-04-19 2011-07-12 Pelikan Technologies, Inc. Device and method for variable speed lancet
US7297122B2 (en) 2002-04-19 2007-11-20 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7547287B2 (en) 2002-04-19 2009-06-16 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7229458B2 (en) 2002-04-19 2007-06-12 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US9248267B2 (en) 2002-04-19 2016-02-02 Sanofi-Aventis Deustchland Gmbh Tissue penetration device
US9795334B2 (en) 2002-04-19 2017-10-24 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US8221334B2 (en) 2002-04-19 2012-07-17 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7892183B2 (en) 2002-04-19 2011-02-22 Pelikan Technologies, Inc. Method and apparatus for body fluid sampling and analyte sensing
US7674232B2 (en) 2002-04-19 2010-03-09 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8267870B2 (en) 2002-04-19 2012-09-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling with hybrid actuation
US7717863B2 (en) 2002-04-19 2010-05-18 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7371247B2 (en) 2002-04-19 2008-05-13 Pelikan Technologies, Inc Method and apparatus for penetrating tissue
US7226461B2 (en) 2002-04-19 2007-06-05 Pelikan Technologies, Inc. Method and apparatus for a multi-use body fluid sampling device with sterility barrier release
US7909778B2 (en) 2002-04-19 2011-03-22 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7291117B2 (en) 2002-04-19 2007-11-06 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7648468B2 (en) 2002-04-19 2010-01-19 Pelikon Technologies, Inc. Method and apparatus for penetrating tissue
US7232451B2 (en) 2002-04-19 2007-06-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7901362B2 (en) 2002-04-19 2011-03-08 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US9314194B2 (en) 2002-04-19 2016-04-19 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US8579831B2 (en) 2002-04-19 2013-11-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7331931B2 (en) 2002-04-19 2008-02-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7491178B2 (en) 2002-04-19 2009-02-17 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8702624B2 (en) 2006-09-29 2014-04-22 Sanofi-Aventis Deutschland Gmbh Analyte measurement device with a single shot actuator
US7226978B2 (en) 2002-05-22 2007-06-05 Dexcom, Inc. Techniques to improve polyurethane membranes for implantable glucose sensors
EP1552146B1 (en) 2002-10-09 2011-04-20 Abbott Diabetes Care Inc. Fluid delivery device, system and method
US7727181B2 (en) 2002-10-09 2010-06-01 Abbott Diabetes Care Inc. Fluid delivery device with autocalibration
US7993108B2 (en) 2002-10-09 2011-08-09 Abbott Diabetes Care Inc. Variable volume, shape memory actuated insulin dispensing pump
US7248912B2 (en) * 2002-10-31 2007-07-24 The Regents Of The University Of California Tissue implantable sensors for measurement of blood solutes
US8574895B2 (en) 2002-12-30 2013-11-05 Sanofi-Aventis Deutschland Gmbh Method and apparatus using optical techniques to measure analyte levels
EP1578262A4 (en) 2002-12-31 2007-12-05 Therasense Inc Continuous glucose monitoring system and methods of use
MXPA05010221A (en) * 2003-03-25 2006-02-22 Terry O Herndon Drill device and method for forming microconduits.
US7134999B2 (en) 2003-04-04 2006-11-14 Dexcom, Inc. Optimized sensor geometry for an implantable glucose sensor
US7679407B2 (en) 2003-04-28 2010-03-16 Abbott Diabetes Care Inc. Method and apparatus for providing peak detection circuitry for data communication systems
US7875293B2 (en) 2003-05-21 2011-01-25 Dexcom, Inc. Biointerface membranes incorporating bioactive agents
WO2004107964A2 (en) 2003-06-06 2004-12-16 Pelikan Technologies, Inc. Blood harvesting device with electronic control
US8066639B2 (en) 2003-06-10 2011-11-29 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US8460243B2 (en) 2003-06-10 2013-06-11 Abbott Diabetes Care Inc. Glucose measuring module and insulin pump combination
WO2006001797A1 (en) 2004-06-14 2006-01-05 Pelikan Technologies, Inc. Low pain penetrating
US7722536B2 (en) 2003-07-15 2010-05-25 Abbott Diabetes Care Inc. Glucose measuring device integrated into a holster for a personal area network device
US8423113B2 (en) 2003-07-25 2013-04-16 Dexcom, Inc. Systems and methods for processing sensor data
US7761130B2 (en) 2003-07-25 2010-07-20 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
EP1648298A4 (en) 2003-07-25 2010-01-13 Dexcom Inc Oxygen enhancing membrane systems for implantable devices
WO2005012873A2 (en) 2003-07-25 2005-02-10 Dexcom, Inc. Electrode systems for electrochemical sensors
US20190357827A1 (en) 2003-08-01 2019-11-28 Dexcom, Inc. Analyte sensor
US8369919B2 (en) 2003-08-01 2013-02-05 Dexcom, Inc. Systems and methods for processing sensor data
US8160669B2 (en) 2003-08-01 2012-04-17 Dexcom, Inc. Transcutaneous analyte sensor
US8626257B2 (en) 2003-08-01 2014-01-07 Dexcom, Inc. Analyte sensor
US9135402B2 (en) 2007-12-17 2015-09-15 Dexcom, Inc. Systems and methods for processing sensor data
US7986986B2 (en) 2003-08-01 2011-07-26 Dexcom, Inc. System and methods for processing analyte sensor data
US8275437B2 (en) 2003-08-01 2012-09-25 Dexcom, Inc. Transcutaneous analyte sensor
US8845536B2 (en) 2003-08-01 2014-09-30 Dexcom, Inc. Transcutaneous analyte sensor
US8060173B2 (en) 2003-08-01 2011-11-15 Dexcom, Inc. System and methods for processing analyte sensor data
US8886273B2 (en) 2003-08-01 2014-11-11 Dexcom, Inc. Analyte sensor
US20070208245A1 (en) * 2003-08-01 2007-09-06 Brauker James H Transcutaneous analyte sensor
US7591801B2 (en) 2004-02-26 2009-09-22 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US7494465B2 (en) 2004-07-13 2009-02-24 Dexcom, Inc. Transcutaneous analyte sensor
US8761856B2 (en) 2003-08-01 2014-06-24 Dexcom, Inc. System and methods for processing analyte sensor data
US7774145B2 (en) 2003-08-01 2010-08-10 Dexcom, Inc. Transcutaneous analyte sensor
US20100168543A1 (en) 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US7920906B2 (en) 2005-03-10 2011-04-05 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US20140121989A1 (en) 2003-08-22 2014-05-01 Dexcom, Inc. Systems and methods for processing analyte sensor data
EP1671096A4 (en) 2003-09-29 2009-09-16 Pelikan Technologies Inc Method and apparatus for an improved sample capture device
EP1680014A4 (en) 2003-10-14 2009-01-21 Pelikan Technologies Inc Method and apparatus for a variable user interface
US7299082B2 (en) * 2003-10-31 2007-11-20 Abbott Diabetes Care, Inc. Method of calibrating an analyte-measurement device, and associated methods, devices and systems
US20050108103A1 (en) * 2003-11-18 2005-05-19 Roberts Roland L. Prospect qualifying calculator
WO2005051170A2 (en) 2003-11-19 2005-06-09 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US9247900B2 (en) 2004-07-13 2016-02-02 Dexcom, Inc. Analyte sensor
US8774886B2 (en) 2006-10-04 2014-07-08 Dexcom, Inc. Analyte sensor
US11633133B2 (en) 2003-12-05 2023-04-25 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8425416B2 (en) 2006-10-04 2013-04-23 Dexcom, Inc. Analyte sensor
US8425417B2 (en) 2003-12-05 2013-04-23 Dexcom, Inc. Integrated device for continuous in vivo analyte detection and simultaneous control of an infusion device
US8364231B2 (en) 2006-10-04 2013-01-29 Dexcom, Inc. Analyte sensor
US8423114B2 (en) 2006-10-04 2013-04-16 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8364230B2 (en) 2006-10-04 2013-01-29 Dexcom, Inc. Analyte sensor
EP2239567B1 (en) 2003-12-05 2015-09-02 DexCom, Inc. Calibration techniques for a continuous analyte sensor
US8287453B2 (en) 2003-12-05 2012-10-16 Dexcom, Inc. Analyte sensor
EP2329763B1 (en) 2003-12-09 2017-06-21 DexCom, Inc. Signal processing for continuous analyte sensor
EP1706026B1 (en) 2003-12-31 2017-03-01 Sanofi-Aventis Deutschland GmbH Method and apparatus for improving fluidic flow and sample capture
US7822454B1 (en) 2005-01-03 2010-10-26 Pelikan Technologies, Inc. Fluid sampling device with improved analyte detecting member configuration
BRPI0507376A (en) 2004-02-06 2007-07-10 Bayer Healthcare Llc oxidizable species as an internal reference for biosensors and method of use
WO2005089103A2 (en) 2004-02-17 2005-09-29 Therasense, Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US8808228B2 (en) 2004-02-26 2014-08-19 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
JP4611372B2 (en) * 2004-02-26 2011-01-12 ダイアベティス ツールズ スウェーデン アーベー Metabolic monitoring, method and apparatus for displaying conditions related to the health of a subject
DE102004020160A1 (en) 2004-04-24 2005-11-10 Roche Diagnostics Gmbh Method and device for monitoring a concentration of an analyte in the living body of a human or animal
US8277713B2 (en) 2004-05-03 2012-10-02 Dexcom, Inc. Implantable analyte sensor
US8792955B2 (en) 2004-05-03 2014-07-29 Dexcom, Inc. Transcutaneous analyte sensor
US8828203B2 (en) 2004-05-20 2014-09-09 Sanofi-Aventis Deutschland Gmbh Printable hydrogels for biosensors
EP1765194A4 (en) 2004-06-03 2010-09-29 Pelikan Technologies Inc Method and apparatus for a fluid sampling device
CA2572455C (en) 2004-06-04 2014-10-28 Therasense, Inc. Diabetes care host-client architecture and data management system
US8452368B2 (en) 2004-07-13 2013-05-28 Dexcom, Inc. Transcutaneous analyte sensor
US8565848B2 (en) 2004-07-13 2013-10-22 Dexcom, Inc. Transcutaneous analyte sensor
EP3524142B1 (en) 2004-07-13 2021-04-28 Dexcom, Inc. Transcutaneous analyte sensor
US7310544B2 (en) 2004-07-13 2007-12-18 Dexcom, Inc. Methods and systems for inserting a transcutaneous analyte sensor
US20060270922A1 (en) 2004-07-13 2006-11-30 Brauker James H Analyte sensor
US7783333B2 (en) 2004-07-13 2010-08-24 Dexcom, Inc. Transcutaneous medical device with variable stiffness
US7857760B2 (en) 2004-07-13 2010-12-28 Dexcom, Inc. Analyte sensor
US7719523B2 (en) 2004-08-06 2010-05-18 Touchtable, Inc. Bounding box gesture recognition on a touch detecting interactive display
US7724242B2 (en) 2004-08-06 2010-05-25 Touchtable, Inc. Touch driven method and apparatus to integrate and display multiple image layers forming alternate depictions of same subject matter
US7728821B2 (en) * 2004-08-06 2010-06-01 Touchtable, Inc. Touch detecting interactive display
JP2006147472A (en) * 2004-11-24 2006-06-08 Olympus Corp Energy generator using substance originated from living body
US8652831B2 (en) 2004-12-30 2014-02-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for analyte measurement test time
US7545272B2 (en) 2005-02-08 2009-06-09 Therasense, Inc. RF tag on test strips, test strip vials and boxes
US20060200070A1 (en) 2005-02-14 2006-09-07 Callicoat David N Method and apparatus for calibrating an analyte detection system with a calibration sample
US20090076360A1 (en) 2007-09-13 2009-03-19 Dexcom, Inc. Transcutaneous analyte sensor
US8133178B2 (en) 2006-02-22 2012-03-13 Dexcom, Inc. Analyte sensor
EP1863559A4 (en) 2005-03-21 2008-07-30 Abbott Diabetes Care Inc Method and system for providing integrated medication infusion and analyte monitoring system
US8744546B2 (en) 2005-05-05 2014-06-03 Dexcom, Inc. Cellulosic-based resistance domain for an analyte sensor
US8060174B2 (en) 2005-04-15 2011-11-15 Dexcom, Inc. Analyte sensing biointerface
US8112240B2 (en) 2005-04-29 2012-02-07 Abbott Diabetes Care Inc. Method and apparatus for providing leak detection in data monitoring and management systems
US7768408B2 (en) 2005-05-17 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing data management in data monitoring system
US7620437B2 (en) 2005-06-03 2009-11-17 Abbott Diabetes Care Inc. Method and apparatus for providing rechargeable power in data monitoring and management systems
KR101477815B1 (en) 2005-09-30 2015-01-02 바이엘 헬스케어 엘엘씨 Gated voltammetry
US7756561B2 (en) 2005-09-30 2010-07-13 Abbott Diabetes Care Inc. Method and apparatus for providing rechargeable power in data monitoring and management systems
US7583190B2 (en) 2005-10-31 2009-09-01 Abbott Diabetes Care Inc. Method and apparatus for providing data communication in data monitoring and management systems
US7766829B2 (en) 2005-11-04 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
WO2007053963A1 (en) * 2005-11-10 2007-05-18 Solianis Holding Ag Device for determining the glucose level in body tissue
US7729737B2 (en) * 2005-11-22 2010-06-01 Isense Corporation Method and apparatus for background current arrangements for a biosensor
US20070207516A1 (en) * 2005-12-21 2007-09-06 Doupe Thomas H Cholesterol measurement system and method
US7985330B2 (en) * 2005-12-30 2011-07-26 Medtronic Minimed, Inc. Method and system for detecting age, hydration, and functional states of sensors using electrochemical impedance spectroscopy
US20070173712A1 (en) * 2005-12-30 2007-07-26 Medtronic Minimed, Inc. Method of and system for stabilization of sensors
US20070169533A1 (en) 2005-12-30 2007-07-26 Medtronic Minimed, Inc. Methods and systems for detecting the hydration of sensors
US9757061B2 (en) 2006-01-17 2017-09-12 Dexcom, Inc. Low oxygen in vivo analyte sensor
US8344966B2 (en) 2006-01-31 2013-01-01 Abbott Diabetes Care Inc. Method and system for providing a fault tolerant display unit in an electronic device
EP1991110B1 (en) 2006-03-09 2018-11-07 DexCom, Inc. Systems and methods for processing analyte sensor data
US7653425B2 (en) * 2006-08-09 2010-01-26 Abbott Diabetes Care Inc. Method and system for providing calibration of an analyte sensor in an analyte monitoring system
US8226891B2 (en) 2006-03-31 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US7630748B2 (en) 2006-10-25 2009-12-08 Abbott Diabetes Care Inc. Method and system for providing analyte monitoring
US7620438B2 (en) 2006-03-31 2009-11-17 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US7618369B2 (en) 2006-10-02 2009-11-17 Abbott Diabetes Care Inc. Method and system for dynamically updating calibration parameters for an analyte sensor
US9675290B2 (en) 2012-10-30 2017-06-13 Abbott Diabetes Care Inc. Sensitivity calibration of in vivo sensors used to measure analyte concentration
US8219173B2 (en) 2008-09-30 2012-07-10 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US8140312B2 (en) 2007-05-14 2012-03-20 Abbott Diabetes Care Inc. Method and system for determining analyte levels
US8346335B2 (en) 2008-03-28 2013-01-01 Abbott Diabetes Care Inc. Analyte sensor calibration management
US8224415B2 (en) 2009-01-29 2012-07-17 Abbott Diabetes Care Inc. Method and device for providing offset model based calibration for analyte sensor
WO2007120381A2 (en) 2006-04-14 2007-10-25 Dexcom, Inc. Analyte sensor
WO2007133985A2 (en) 2006-05-08 2007-11-22 Bayer Healthcare Llc Abnormal output detection system for a biosensor
US20080071158A1 (en) 2006-06-07 2008-03-20 Abbott Diabetes Care, Inc. Analyte monitoring system and method
US8447376B2 (en) 2006-10-04 2013-05-21 Dexcom, Inc. Analyte sensor
US8562528B2 (en) 2006-10-04 2013-10-22 Dexcom, Inc. Analyte sensor
US8275438B2 (en) 2006-10-04 2012-09-25 Dexcom, Inc. Analyte sensor
US8298142B2 (en) 2006-10-04 2012-10-30 Dexcom, Inc. Analyte sensor
US8478377B2 (en) 2006-10-04 2013-07-02 Dexcom, Inc. Analyte sensor
US7831287B2 (en) 2006-10-04 2010-11-09 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8449464B2 (en) 2006-10-04 2013-05-28 Dexcom, Inc. Analyte sensor
EP2080022B1 (en) * 2006-10-05 2015-05-13 Lifescan Scotland Ltd Methods for determining an analyte concentration using signal processing algorithms
US9046480B2 (en) 2006-10-05 2015-06-02 Lifescan Scotland Limited Method for determining hematocrit corrected analyte concentrations
US8579853B2 (en) 2006-10-31 2013-11-12 Abbott Diabetes Care Inc. Infusion devices and methods
US8732188B2 (en) 2007-02-18 2014-05-20 Abbott Diabetes Care Inc. Method and system for providing contextual based medication dosage determination
US8930203B2 (en) 2007-02-18 2015-01-06 Abbott Diabetes Care Inc. Multi-function analyte test device and methods therefor
US8123686B2 (en) 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
EP2146625B1 (en) 2007-04-14 2019-08-14 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8665091B2 (en) 2007-05-08 2014-03-04 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US8461985B2 (en) 2007-05-08 2013-06-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8456301B2 (en) 2007-05-08 2013-06-04 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US9125548B2 (en) 2007-05-14 2015-09-08 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8103471B2 (en) 2007-05-14 2012-01-24 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8600681B2 (en) 2007-05-14 2013-12-03 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8260558B2 (en) 2007-05-14 2012-09-04 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8560038B2 (en) 2007-05-14 2013-10-15 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8239166B2 (en) 2007-05-14 2012-08-07 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8597190B2 (en) 2007-05-18 2013-12-03 Optiscan Biomedical Corporation Monitoring systems and methods with fast initialization
EP2156348B1 (en) 2007-05-30 2018-08-01 Ascensia Diabetes Care Holdings AG System and method for managing health data
EP2152350A4 (en) 2007-06-08 2013-03-27 Dexcom Inc Integrated medicament delivery device for use with continuous analyte sensor
US8160900B2 (en) 2007-06-29 2012-04-17 Abbott Diabetes Care Inc. Analyte monitoring and management device and method to analyze the frequency of user interaction with the device
US8088272B2 (en) * 2007-07-26 2012-01-03 Nipro Diagnostics, Inc. System and methods for determination of analyte concentration using time resolved amperometry
US8101062B2 (en) * 2007-07-26 2012-01-24 Nipro Diagnostics, Inc. System and methods for determination of analyte concentration using time resolved amperometry
EP2197521B1 (en) * 2007-08-31 2016-04-13 Leon Dejournett Computerized blood glucose level adjustment system
PL2040072T3 (en) 2007-09-22 2013-06-28 Hoffmann La Roche Analysis system for measuring the concentration of an analyte in a bodily fluid
EP2227132B1 (en) 2007-10-09 2023-03-08 DexCom, Inc. Integrated insulin delivery system with continuous glucose sensor
DE502007004737D1 (en) * 2007-10-16 2010-09-23 Roche Diagnostics Gmbh Method for storing a measurement series
US8417312B2 (en) 2007-10-25 2013-04-09 Dexcom, Inc. Systems and methods for processing sensor data
US7783442B2 (en) * 2007-10-31 2010-08-24 Medtronic Minimed, Inc. System and methods for calibrating physiological characteristic sensors
WO2009076302A1 (en) 2007-12-10 2009-06-18 Bayer Healthcare Llc Control markers for auto-detection of control solution and methods of use
US8290559B2 (en) 2007-12-17 2012-10-16 Dexcom, Inc. Systems and methods for processing sensor data
US8229535B2 (en) 2008-02-21 2012-07-24 Dexcom, Inc. Systems and methods for blood glucose monitoring and alert delivery
US8396528B2 (en) 2008-03-25 2013-03-12 Dexcom, Inc. Analyte sensor
US11730407B2 (en) 2008-03-28 2023-08-22 Dexcom, Inc. Polymer membranes for continuous analyte sensors
US8583204B2 (en) 2008-03-28 2013-11-12 Dexcom, Inc. Polymer membranes for continuous analyte sensors
US8682408B2 (en) 2008-03-28 2014-03-25 Dexcom, Inc. Polymer membranes for continuous analyte sensors
EP2106784B1 (en) * 2008-04-03 2015-04-22 Rohm and Haas Company Hair styling composition
EP2265324B1 (en) 2008-04-11 2015-01-28 Sanofi-Aventis Deutschland GmbH Integrated analyte measurement system
KR20090118314A (en) * 2008-05-13 2009-11-18 케이엠에이치 주식회사 A apparatus and method for measuring a blood glucose using a electrophoresis phenomenon without blood gathering
US8924159B2 (en) 2008-05-30 2014-12-30 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
US8591410B2 (en) 2008-05-30 2013-11-26 Abbott Diabetes Care Inc. Method and apparatus for providing glycemic control
US8262899B2 (en) 2008-07-10 2012-09-11 Bayer Healthcare Llc Systems and methods including amperometric and voltammetric duty cycles
CN102105103B (en) * 2008-07-31 2015-09-09 希森美康株式会社 The in vivo assay method of composition, for the data processing method of in vivo composition measurement, in vivo component measuring device and collecting part
EP4227675A3 (en) 2008-09-19 2023-09-06 DexCom, Inc. Particle-containing membrane and particulate electrode for analyte sensors
US8986208B2 (en) 2008-09-30 2015-03-24 Abbott Diabetes Care Inc. Analyte sensor sensitivity attenuation mitigation
US9326707B2 (en) 2008-11-10 2016-05-03 Abbott Diabetes Care Inc. Alarm characterization for analyte monitoring devices and systems
KR101285520B1 (en) * 2008-12-23 2013-07-17 에프. 호프만-라 로슈 아게 Structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof
US10437962B2 (en) 2008-12-23 2019-10-08 Roche Diabetes Care Inc Status reporting of a structured collection procedure
US8103456B2 (en) 2009-01-29 2012-01-24 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US9375169B2 (en) 2009-01-30 2016-06-28 Sanofi-Aventis Deutschland Gmbh Cam drive for managing disposable penetrating member actions with a single motor and motor and control system
US8560082B2 (en) 2009-01-30 2013-10-15 Abbott Diabetes Care Inc. Computerized determination of insulin pump therapy parameters using real time and retrospective data processing
US20100219085A1 (en) * 2009-02-27 2010-09-02 Edwards Lifesciences Corporation Analyte Sensor Offset Normalization
WO2010111660A1 (en) 2009-03-27 2010-09-30 Dexcom, Inc. Methods and systems for promoting glucose management
JP5367598B2 (en) * 2009-03-30 2013-12-11 シスメックス株式会社 Method and apparatus for estimating concentration fluctuation of measurement target component in blood using area under blood concentration-time curve
US8467972B2 (en) 2009-04-28 2013-06-18 Abbott Diabetes Care Inc. Closed loop blood glucose control algorithm analysis
WO2010127050A1 (en) 2009-04-28 2010-11-04 Abbott Diabetes Care Inc. Error detection in critical repeating data in a wireless sensor system
WO2010127169A2 (en) 2009-04-30 2010-11-04 Dexcom, Inc. Performance reports associated with continuous sensor data from multiple analysis time periods
WO2010138856A1 (en) 2009-05-29 2010-12-02 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
WO2010151592A1 (en) 2009-06-23 2010-12-29 Bayer Healthcare Llc System and apparatus for determining temperatures in a fluid analyte system
US9351677B2 (en) 2009-07-02 2016-05-31 Dexcom, Inc. Analyte sensor with increased reference capacity
US9237864B2 (en) 2009-07-02 2016-01-19 Dexcom, Inc. Analyte sensors and methods of manufacturing same
ES2888427T3 (en) 2009-07-23 2022-01-04 Abbott Diabetes Care Inc Real-time management of data related to the physiological control of glucose levels
EP3689237B1 (en) 2009-07-23 2021-05-19 Abbott Diabetes Care, Inc. Method of manufacturing and system for continuous analyte measurement
ES2952361T3 (en) 2009-08-31 2023-10-31 Abbott Diabetes Care Inc Displays for a medical device
EP2473098A4 (en) 2009-08-31 2014-04-09 Abbott Diabetes Care Inc Analyte signal processing device and methods
US8993331B2 (en) 2009-08-31 2015-03-31 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
WO2011041469A1 (en) 2009-09-29 2011-04-07 Abbott Diabetes Care Inc. Method and apparatus for providing notification function in analyte monitoring systems
EP2494323A4 (en) 2009-10-30 2014-07-16 Abbott Diabetes Care Inc Method and apparatus for detecting false hypoglycemic conditions
KR101100987B1 (en) * 2010-03-23 2011-12-30 삼성모바일디스플레이주식회사 Touch Screen Panel
US8965476B2 (en) 2010-04-16 2015-02-24 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
WO2011156522A1 (en) 2010-06-09 2011-12-15 Optiscan Biomedical Corporation Measuring analytes in a fluid sample drawn from a patient
WO2011156095A2 (en) 2010-06-10 2011-12-15 The Regents Of The University Of California Textile-based printable electrodes for electrochemical sensing
US10092229B2 (en) 2010-06-29 2018-10-09 Abbott Diabetes Care Inc. Calibration of analyte measurement system
US9052278B2 (en) 2010-07-19 2015-06-09 Cilag Gmbh International System and method for measuring an analyte in a sample
US8748191B2 (en) * 2010-08-02 2014-06-10 Ecolab Usa Inc. Stop-flow analytical systems and methods
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
WO2012134890A1 (en) * 2011-03-25 2012-10-04 Cilag Gmbh International System and method for measuring an analyte in a sample and correcting for interferents
CN103477215B (en) 2011-04-13 2015-07-29 3M创新有限公司 Detect the method for volatile organic compounds
JP2014510933A (en) 2011-04-13 2014-05-01 スリーエム イノベイティブ プロパティズ カンパニー Vapor sensor including sensor element and integrated heating mechanism
CN103492872B (en) 2011-04-13 2016-04-06 3M创新有限公司 Use the method for absorbability sensor element
WO2012142502A2 (en) 2011-04-15 2012-10-18 Dexcom Inc. Advanced analyte sensor calibration and error detection
US8868217B2 (en) * 2011-06-27 2014-10-21 Bioness Neuromodulation Ltd. Electrode for muscle stimulation
JP6321540B2 (en) 2011-07-26 2018-05-09 グリセンス インコーポレイテッド Implantable analyte sensor with hermetically sealed housing and method of manufacturing the sensor
US8560251B2 (en) * 2011-08-16 2013-10-15 Instrumentation Laboratory Company System and method of increasing sample throughput by estimation of a sensor endpoint
ES2608592T3 (en) 2011-08-16 2017-04-12 Instrumentation Laboratory Company Extrapolation of data from interpolated sensors to increase sample throughput
RU2602040C2 (en) * 2011-08-26 2016-11-10 Университи Оф Вирджиния Патент Фоундэйшион Method, system and computer readable medium for adaptive advisory control of diabetes
US9622691B2 (en) 2011-10-31 2017-04-18 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
US9989522B2 (en) * 2011-11-01 2018-06-05 Medtronic Minimed, Inc. Methods and materials for modulating start-up time and air removal in dry sensors
WO2013070794A2 (en) 2011-11-07 2013-05-16 Abbott Diabetes Care Inc. Analyte monitoring device and methods
US8710993B2 (en) 2011-11-23 2014-04-29 Abbott Diabetes Care Inc. Mitigating single point failure of devices in an analyte monitoring system and methods thereof
EP2791667B1 (en) 2011-12-13 2018-03-28 3M Innovative Properties Company Method for identification and quantitative determination of an unknown organic compound in a gaseous medium
EP2657681A1 (en) 2012-04-26 2013-10-30 Roche Diagnostics GmbH Improvement of the sensitivity and the dynamic range of photometric assays by generating multiple calibration curves
GB2502287B (en) * 2012-05-21 2016-11-23 Dermal Diagnostics Ltd Cumulative measurement of an analyte
US10660550B2 (en) 2015-12-29 2020-05-26 Glysens Incorporated Implantable sensor apparatus and methods
US10561353B2 (en) 2016-06-01 2020-02-18 Glysens Incorporated Biocompatible implantable sensor apparatus and methods
US10132793B2 (en) 2012-08-30 2018-11-20 Abbott Diabetes Care Inc. Dropout detection in continuous analyte monitoring data during data excursions
US9968306B2 (en) 2012-09-17 2018-05-15 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
US20140088372A1 (en) * 2012-09-25 2014-03-27 Google Inc. Information processing method
EP2901153A4 (en) 2012-09-26 2016-04-27 Abbott Diabetes Care Inc Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
US10463282B2 (en) * 2012-10-04 2019-11-05 Roche Diabetes Care, Inc. System and method for assessing risk associated with a glucose state
US10335075B2 (en) 2013-03-14 2019-07-02 Dexcom, Inc. Advanced calibration for analyte sensors
US10076285B2 (en) 2013-03-15 2018-09-18 Abbott Diabetes Care Inc. Sensor fault detection using analyte sensor data pattern comparison
EP2811300A1 (en) * 2013-06-07 2014-12-10 Roche Diagniostics GmbH Calibration for multi-component assays
US9778219B2 (en) 2013-11-27 2017-10-03 Delphi Technologies, Inc. Electrochemical detection system and method of operation
US20170185748A1 (en) 2014-03-30 2017-06-29 Abbott Diabetes Care Inc. Method and Apparatus for Determining Meal Start and Peak Events in Analyte Monitoring Systems
GB201406257D0 (en) * 2014-04-07 2014-05-21 Univ City System & method for estimating substance concentrations in bodily fluids
WO2016036944A1 (en) * 2014-09-03 2016-03-10 Echo Therapeutics, Inc. Transdermal analyte monitoring systems corrected for on-skin and break-in currents
WO2016090189A1 (en) * 2014-12-03 2016-06-09 The Regents Of The University Of California Non-invasive and wearable chemical sensors and biosensors
US11330987B2 (en) 2015-04-06 2022-05-17 Thomas Jefferson University Implantable vital sign sensor
US11000195B2 (en) 2015-04-06 2021-05-11 Thomas Jefferson University Implantable vital sign sensor
US10335043B2 (en) 2015-04-06 2019-07-02 Thomas Jefferson University Implantable vital sign sensor
US10413200B2 (en) 2015-04-06 2019-09-17 Thomas Jefferson University Implantable vital sign sensor
US11553883B2 (en) 2015-07-10 2023-01-17 Abbott Diabetes Care Inc. System, device and method of dynamic glucose profile response to physiological parameters
WO2017020019A1 (en) * 2015-07-29 2017-02-02 Parker-Hannifin Corporation Solid-state electrodes and sensors having redox active surface areas
US20170065231A1 (en) * 2015-09-04 2017-03-09 Goldensunda Technology Co., Ltd. Noninvasive blood sugar measurement device
US20170103166A1 (en) * 2015-10-13 2017-04-13 Sk Planet Co., Ltd. Wearable device for providing service according to measurement of blood alcohol level and management server therefor
CN105388276B (en) * 2016-01-01 2017-08-04 河南科技大学第一附属医院 A kind of Blood Kit analysis system and analysis method
WO2017190143A1 (en) 2016-04-29 2017-11-02 Senseonics, Incorporated Real-time denoising and prediction for a continuous glucose monitoring system
US10638962B2 (en) 2016-06-29 2020-05-05 Glysens Incorporated Bio-adaptable implantable sensor apparatus and methods
JP6778058B2 (en) * 2016-08-31 2020-10-28 シスメックス株式会社 Sensor assembly, test substance monitoring system and test substance monitoring method
CN107788965A (en) * 2016-09-05 2018-03-13 京东方科技集团股份有限公司 A kind of determination method and device of blood pressure
KR102619443B1 (en) * 2016-09-30 2023-12-28 삼성전자주식회사 Wrist temperature rhythm acquisition apparatus and method, core temperature rhythm acquisition apparatus and method, wearable device
GB2560203B (en) * 2017-03-03 2021-10-27 Zwipe As Smartcard
WO2018175489A1 (en) 2017-03-21 2018-09-27 Abbott Diabetes Care Inc. Methods, devices and system for providing diabetic condition diagnosis and therapy
US10638979B2 (en) 2017-07-10 2020-05-05 Glysens Incorporated Analyte sensor data evaluation and error reduction apparatus and methods
KR102003667B1 (en) * 2017-08-21 2019-07-25 포항공과대학교 산학협력단 Apparatus, method, and program for predicting hypoglycemia, and apparatus, method, and program for generating hypoglycemia prediction model
US11331022B2 (en) 2017-10-24 2022-05-17 Dexcom, Inc. Pre-connected analyte sensors
CA3077720A1 (en) 2017-10-24 2019-05-02 Dexcom, Inc. Pre-connected analyte sensors
CN111263958B (en) * 2017-10-30 2022-05-27 开利公司 Compensator in detector device
US11278668B2 (en) 2017-12-22 2022-03-22 Glysens Incorporated Analyte sensor and medicant delivery data evaluation and error reduction apparatus and methods
US10244985B1 (en) * 2017-12-28 2019-04-02 Saleem Sayani Wearable diagnostic device
US11255839B2 (en) 2018-01-04 2022-02-22 Glysens Incorporated Apparatus and methods for analyte sensor mismatch correction
KR102035424B1 (en) * 2018-06-20 2019-10-22 울산과학기술원 Calibration method of glucose sensing apparatus
EP3920798A1 (en) 2019-02-05 2021-12-15 Ascensia Diabetes Care Holdings AG Apparatus and methods for probing sensor operation of continuous analyte sensing and auto-calibration
JP2022521409A (en) 2019-02-22 2022-04-07 アセンシア・ディアベティス・ケア・ホールディングス・アーゲー Method and device for monitoring the concentration of the object to be analyzed using harmonic relations
WO2021046477A1 (en) * 2019-09-04 2021-03-11 The Brigham And Women's Hospital, Inc. Systems and methods for assessing outcomes of the combination of predictive or descriptive data models
US20210068724A1 (en) * 2019-09-10 2021-03-11 Ascensia Diabetes Care Holdings Ag Methods and apparatus for information gathering, error detection and analyte concentration determination during continuous analyte sensing
RU197895U1 (en) * 2020-02-05 2020-06-04 Общество с ограниченной ответственностью "МедТехПродукт" ELECTROCHEMICAL BIOSENSOR FOR DETERMINING BLOOD Glucose Concentration
CN111338275B (en) * 2020-02-21 2022-04-12 中科维卡(苏州)自动化科技有限公司 Method and system for monitoring running state of electrical equipment
CN113545776A (en) * 2020-04-16 2021-10-26 智准生医科技股份有限公司 Biological information measurement system and biological information correction method
DK4048152T3 (en) 2020-07-29 2024-03-11 Biolinq Incorporated SYSTEM FOR CONTINUOUS ANALYTE MONITORING WITH MICRON NEEDLE ARRANGEMENT
CN116113454A (en) 2021-05-08 2023-05-12 比奥林股份有限公司 Continuous analyte monitoring device fault detection based on microneedle arrays
WO2023091042A1 (en) * 2021-11-16 2023-05-25 Общество С Ограниченной Ответственностью Инжиниринговый Центр Миэт Method and device for measuring physiological parameters of cattle

Family Cites Families (50)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4325367A (en) 1977-06-13 1982-04-20 Robert Tapper Iontophoretic treatment apparatus
WO1989006989A1 (en) 1988-01-29 1989-08-10 The Regents Of The University Of California Iontophoretic non-invasive sampling or delivery device
US5362307A (en) 1989-01-24 1994-11-08 The Regents Of The University Of California Method for the iontophoretic non-invasive-determination of the in vivo concentration level of an inorganic or organic substance
US5062841A (en) 1988-08-12 1991-11-05 The Regents Of The University Of California Implantable, self-regulating mechanochemical insulin pump
US5086229A (en) 1989-01-19 1992-02-04 Futrex, Inc. Non-invasive measurement of blood glucose
US4975581A (en) 1989-06-21 1990-12-04 University Of New Mexico Method of and apparatus for determining the similarity of a biological analyte from a model constructed from known biological fluids
CH677149A5 (en) * 1989-07-07 1991-04-15 Disetronic Ag
US5112614A (en) 1989-09-14 1992-05-12 Alza Corporation Implantable delivery dispenser
CA2028261C (en) 1989-10-28 1995-01-17 Won Suck Yang Non-invasive method and apparatus for measuring blood glucose concentration
US5115805A (en) 1990-02-23 1992-05-26 Cygnus Therapeutic Systems Ultrasound-enhanced delivery of materials into and through the skin
US5771890A (en) 1994-06-24 1998-06-30 Cygnus, Inc. Device and method for sampling of substances using alternating polarity
CA2193885C (en) 1994-06-24 2003-11-25 Janet Tamada Iontophoretic sampling device and method
US5995860A (en) 1995-07-06 1999-11-30 Thomas Jefferson University Implantable sensor and system for measurement and control of blood constituent levels
DK0840597T3 (en) 1995-07-12 2004-01-26 Cygnus Therapeutic Systems hydrogel
US5989409A (en) 1995-09-11 1999-11-23 Cygnus, Inc. Method for glucose sensing
US5735273A (en) 1995-09-12 1998-04-07 Cygnus, Inc. Chemical signal-impermeable mask
JP3316820B2 (en) 1995-12-28 2002-08-19 シィグナス インコーポレィティド Apparatus and method for continuous monitoring of a physiological analyte of a subject
US5747806A (en) 1996-02-02 1998-05-05 Instrumentation Metrics, Inc Method and apparatus for multi-spectral analysis in noninvasive nir spectroscopy
US5962215A (en) 1996-04-05 1999-10-05 Mercury Diagnostics, Inc. Methods for testing the concentration of an analyte in a body fluid
IL124510A0 (en) 1996-05-17 1998-12-06 Mercury Diagnostics Inc Disposable element for use in a body fluid sampling device
EP2160981B1 (en) 1996-05-17 2013-04-10 Roche Diagnostics Operations, Inc. Apparatus for expressing body fluid from an incision
US5954685A (en) 1996-05-24 1999-09-21 Cygnus, Inc. Electrochemical sensor with dual purpose electrode
US5892661A (en) 1996-10-31 1999-04-06 Motorola, Inc. Smartcard and method of making
US6139718A (en) 1997-03-25 2000-10-31 Cygnus, Inc. Electrode with improved signal to noise ratio
US6579690B1 (en) 1997-12-05 2003-06-17 Therasense, Inc. Blood analyte monitoring through subcutaneous measurement
WO1999040848A1 (en) 1998-02-17 1999-08-19 Abbott Laboratories Interstitial fluid collection and monitoring device
US6134461A (en) 1998-03-04 2000-10-17 E. Heller & Company Electrochemical analyte
ATE375752T1 (en) 1998-03-06 2007-11-15 Spectrx Inc INTEGRATED TISSUE PORATION, FLUID COLLECTION AND ANALYSIS DEVICE
US6587705B1 (en) 1998-03-13 2003-07-01 Lynn Kim Biosensor, iontophoretic sampling system, and methods of use thereof
US6175752B1 (en) 1998-04-30 2001-01-16 Therasense, Inc. Analyte monitoring device and methods of use
CA2311487C (en) 1998-05-13 2004-02-10 Cygnus, Inc. Signal processing for measurement of physiological analytes
CA2329411C (en) 1998-05-13 2004-01-27 Cygnus, Inc. Collection assemblies for transdermal sampling system
US6272364B1 (en) * 1998-05-13 2001-08-07 Cygnus, Inc. Method and device for predicting physiological values
CA2332112C (en) 1998-05-13 2004-02-10 Cygnus, Inc. Monitoring of physiological analytes
DE69913153D1 (en) 1998-09-17 2004-01-08 Cygnus Therapeutic Systems DEVICE FOR COMPRESSING A GEL / SENSOR UNIT
DK1102559T3 (en) 1998-09-30 2003-09-29 Cygnus Therapeutic Systems Method and apparatus for predicting physiological values
US6180416B1 (en) * 1998-09-30 2001-01-30 Cygnus, Inc. Method and device for predicting physiological values
US6391643B1 (en) 1998-10-28 2002-05-21 Cygnus, Inc. Kit and method for quality control testing of an iontophoretic sampling system
CA2365609A1 (en) 1999-02-12 2000-08-17 Cygnus, Inc. Devices and methods for frequent measurement of an analyte present in a biological system
JP2002542498A (en) 1999-04-22 2002-12-10 シグナス, インコーポレイテッド Methods and devices for removing interfering species
DE10029010B4 (en) * 1999-06-22 2008-06-05 Toyota Jidosha Kabushiki Kaisha, Toyota Device for controlling suspension shock absorbers in vehicles based on a bilayer damping system
WO2001088534A2 (en) * 2000-05-16 2001-11-22 Cygnus, Inc. Methods for improving performance and reliability of biosensors
WO2002015778A1 (en) 2000-08-18 2002-02-28 Cygnus, Inc. Analyte monitoring device alarm augmentation system
US6633772B2 (en) 2000-08-18 2003-10-14 Cygnus, Inc. Formulation and manipulation of databases of analyte and associated values
CA2408338C (en) 2000-08-18 2009-09-08 Cygnus, Inc. Methods and devices for prediction of hypoglycemic events
US20020026111A1 (en) 2000-08-28 2002-02-28 Neil Ackerman Methods of monitoring glucose levels in a subject and uses thereof
WO2003000127A2 (en) * 2001-06-22 2003-01-03 Cygnus, Inc. Method for improving the performance of an analyte monitoring system
EP1702561B1 (en) 2002-03-22 2011-05-04 Animas Technologies LLC Improving performance for an analyte monitoring device
US7001630B2 (en) * 2002-08-14 2006-02-21 Danisco A/S Animal protein-containing food products having improved moisture retention and method of preparing
US20080014064A1 (en) 2006-07-14 2008-01-17 Charles Dixon Bottled water dispenser

Also Published As

Publication number Publication date
JP2007256296A (en) 2007-10-04
CA2738579A1 (en) 2003-10-09
CA2480550C (en) 2011-07-12
US20060074564A1 (en) 2006-04-06
JP2005520662A (en) 2005-07-14
EP1489961A2 (en) 2004-12-29
JP2007252954A (en) 2007-10-04
US7523004B2 (en) 2009-04-21
US7711493B2 (en) 2010-05-04
JP4083689B2 (en) 2008-04-30
HK1074371A1 (en) 2005-11-11
CA2738579C (en) 2016-11-01
JP4615547B2 (en) 2011-01-19
EP1702561A2 (en) 2006-09-20
EP1489961B1 (en) 2010-09-29
US20030235817A1 (en) 2003-12-25
JP2007252955A (en) 2007-10-04
US20060063218A1 (en) 2006-03-23
US20060085137A1 (en) 2006-04-20
DE60334365D1 (en) 2010-11-11
DE60337038D1 (en) 2011-06-16
JP4588742B2 (en) 2010-12-01
ATE482649T1 (en) 2010-10-15
US7519478B2 (en) 2009-04-14
HK1090532A1 (en) 2006-12-29
WO2003082098A2 (en) 2003-10-09
ES2357318T3 (en) 2011-04-25
JP4574647B2 (en) 2010-11-04
JP2007252956A (en) 2007-10-04
WO2003082098A3 (en) 2004-04-01
EP1702561B1 (en) 2011-05-04
JP4574646B2 (en) 2010-11-04
ATE507766T1 (en) 2011-05-15
EP1702561A3 (en) 2006-12-20

Similar Documents

Publication Publication Date Title
CA2480550A1 (en) Improving performance of an analyte monitoring device
JP6448504B2 (en) Slope-based correction
EP2193367B1 (en) Method for correcting erroneous results of measurement in biosensors and apparatus using the same
EP2577303B1 (en) Underfill management system for a biosensor
US8744776B2 (en) Method for determining analyte concentration based on complex index functions
KR102095959B1 (en) Artificial Neural Network Model-Based Methods for Analyte Analysis
US11060978B2 (en) Methods of determining an analyte concentration in a body fluid sample having disturbance variables, as well as computer programs and devices therefor
JP2011506966A5 (en)
CA2667982A1 (en) Analyte sensors and methods
WO2004081524B1 (en) Measurement site dependent data preprocessing method for robust calibration and prediction
RU2007140372A (en) DEVICE AND METHOD FOR FORECASTING HUMAN TEMPERATURE
CN107636452B (en) Improved biosensor system analyte measurement
US20160022172A1 (en) Systems and methods for fluid testing
Ciepiela et al. Self‐Referencing Background Correction Method for Voltammetric Investigation of Reversible Redox Reaction
CN117412708A (en) Method for determining the current glucose value in a transport fluid
JPH116808A (en) Analytical method in x-ray photoelectron spectroscopic method
Almhofer Entwicklung eines computergestutzten Detektionssystems zur durchflubanalytischen Bestimmung von Sulfat-und Nitrationen.

Legal Events

Date Code Title Description
EEER Examination request
MKEX Expiry

Effective date: 20230321