METHOD AND/OR SYSTEM FOR MULTICOMPARTMENT ANALYTE MONITORING

• US 20150105644A1
• Filed: 10/21/2014
• Published: 04/16/2015
• Est. Priority Date: 10/26/2011
• Status: Abandoned Application

• Current Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Inventors: Yang, Ning, Gottlieb, Rebecca K., Liang, Bradley, Nogueira, Keith, Li, Xialong
• Application Number:
  US14/520,102
• Publication Number:
  US 20150105644A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/1451 for interstitial fluid
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14865 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6833 Adhesive patches
• CPC Class Codes: A61B 5/6849 in combination with a needle set
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Subject matter disclosed herein relates to monitoring and/or controlling levels of an analyte in bodily fluid. In particular, estimation of a concentration of the analyte in a first physiological compartment based upon observations of a concentration of the analyte in a second physiological compartment may account for a latency in transporting the analyte between the first and second physiological compartments.

Claims

1. A method comprising:

concurrently computing multiple estimators of a concentration of an analyte in a first physiological compartment based, at least in part, on one or more measurements of a concentration of the analyte in a second physiological compartment; and

selecting one of said estimators for determining a patient therapy based, at least in part, on a performance metric, wherein said selected estimator is based, at least in part on a modeled latency in transportation of said analyte between said first and second physiological compartments.

2. The method of claim 1, wherein the analyte comprises glucose, the first physiological compartment comprises blood plasma, and the second physiological compartment comprises interstitial fluid.

3. The method of claim 1, wherein said one or more measurements are obtained based, at least in part, on one or more values of a sensor signal, and wherein the modeled latency is based, at least in part, on an estimated rate of change in the sensor signal.

4. The method of claim 3, wherein said sensor signal comprises a current responsive to the concentration of said analyte in said second physiological compartment.

5. The method of claim 1, wherein the modeled latency is based, at least in part, on a latency of a presence of glucose in a patient'"'"'s interstitial fluid to affect a blood glucose concentration in said patient.

6. The method of claim 1, wherein said performance metric comprises a mean absolute relative difference between reference samples of said concentration of said analyte in the first physiological compartment and estimates of said concentration of said analyte in the first physiological compartment computed according to said selected estimator.

7. The method of claim 6, wherein said selected estimator is based, at least in part, on a plurality of estimated parameters including an estimate of a latency in transportation of said analyte between said first and second physiological compartments.

8. The method of claim 1, wherein said patient therapy comprises control of an insulin pump.

9. An apparatus comprising:

a sensor to generate a signal responsive to a concentration of an analyte in a second physiological compartment; and

a processor to;

concurrently compute multiple estimators of a concentration of the analyte in a first physiological compartment based, at least in part, on one or more measurements of the concentration of the analyte in the second physiological compartment based, at least in part, on said signal; and

select one of said estimators for determining a patient therapy based, at least in part, on a performance metric, wherein said selected estimator is based, at least in part on a modeled latency in transportation of said analyte between said first and second physiological compartments.

10. The apparatus of claim 9, wherein the analyte comprises glucose, the first physiological compartment comprises blood plasma, and the second physiological compartment comprises interstitial fluid.

11. The apparatus of claim 9, wherein said modeled latency is based, at least in part, on an estimated rate of change in said signal.

12. The apparatus of claim 11, wherein said signal comprises a current responsive to the concentration of said analyte in said second physiological compartment.

13. The apparatus of claim 9, wherein the modeled latency is based, at least in part, on a latency of a presence of glucose in a patient'"'"'s interstitial fluid to affect a blood glucose concentration in said patient.

14. The apparatus of claim 9, wherein said performance metric comprises a mean absolute relative difference between reference samples of said concentration of said analyte in the first physiological compartment and estimates of said concentration of said analyte in the first physiological compartment computed according to said selected estimator.

15. The apparatus of claim 14, wherein said selected estimator is based, at least in part, on a plurality of estimated parameters including an estimate of a latency in transportation of said analyte between said first and second physiological compartments.

16. The apparatus of claim 9, and further comprising an insulin pump, wherein the processor is further to control said insulin pump based, at least in part, on said determined patient therapy

17. An article comprising:

a non-transitory storage medium having machine-readable instructions stored thereon which are executable by a special purpose computing apparatus to;

concurrently compute multiple estimators of a concentration of an analyte in a first physiological compartment based, at least in part, on one or more measurements of a concentration of the analyte in a second physiological compartment; and

select one of said estimators for determining a patient therapy based, at least in part, on a performance metric, wherein said selected estimator is based, at least in part on a modeled latency in transportation of said analyte between said first and second physiological compartments.

18. The article of claim 17, wherein the analyte comprises glucose, the first physiological compartment comprises blood plasma, and the second physiological compartment comprises interstitial fluid.

19. The article of claim 17, wherein said performance metric comprises a mean absolute relative difference between reference samples of said concentration of said analyte in the first physiological compartment and estimates of said concentration of said analyte in the first physiological compartment computed according to said selected estimator.

20. The article of claim 19, wherein said selected estimator is based, at least in part, on a plurality of estimated parameters including an estimate of a latency in transportation of said analyte between said first and second physiological compartments.