A multistep algorithm for processing and calibration of microdialysis continuous glucose monitoring data

Diabetes Technology and Therapeutics

Volumn 15, Issue 10, 2013, Pages 825-835

  Mahmoudi, Zeinab ^a   Dencker Johansen, Mette ^a   Christiansen, Jens Sandahl ^b   Hejlesen, Ole Kristian ^a,c,d  

^a AALBORG UNIVERSITY   (Denmark)

^b AARHUS UNIVERSITY HOSPITAL   (Denmark)

^c UNIVERSITY OF AGDER   (Norway)

^d UNIVERSITY OF TROMSØ   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE;

ADULT; ALGORITHM; ARTICLE; BLOOD GLUCOSE MONITORING; CLINICAL ARTICLE; CONTINUOUS GLUCOSE MONITORING; GLUCOSE BLOOD LEVEL; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; MICRODIALYSIS; PRIORITY JOURNAL;

ADULT; ALGORITHMS; BIOSENSING TECHNIQUES; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; CALIBRATION; DENMARK; DIABETES MELLITUS, TYPE 1; FEMALE; HUMANS; MALE; MICRODIALYSIS; MONITORING, PHYSIOLOGIC; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 84884566476     PISSN: 15209156     EISSN: 15578593     Source Type: Journal    
DOI: 10.1089/dia.2013.0041     Document Type: Article

References (53)

1. Ali MK, Bullard KM, Imperatore G, Barker L, Gregg EW; Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion: Characteristics associated with poor glycemic control among adults with self-reported diagnosed diabetes-National Health and Nutrition Examination Survey, United States, 2007-2010. MMWR Surveill Summ 2012;61:32-37.
2. Wang PH, Lau J, Chalmers TC: Meta-analysis of effects of intensive blood-glucose control on late complications of type I diabetes. Lancet 1993;341:1306-1309. (Pubitemid 23148093)
3. Alexiadou K, Doupis J: Management of diabetic foot ulcers. Diabetes Ther 2012;3:4.
4. Francescato MP, Geat M, Stel G, Cauci S: Accuracy of a portable glucose meter and of a continuous glucose monitoring device used at home by patients with type 1 diabetes. Clin Chim Acta 2012;413:312-318.
5. Davey RJ, Stevens K, Jones TW, Fournier PA: The effect of short-term use of the guardian RT continuous glucose monitoring system on fear of hypoglycaemia in patients with type 1 diabetes mellitus. Prim Care Diabetes 2012;6: 35-39.
6. Harvey RA, Dassau E, Zisser HC, Bevier W, Seborg DE, Jovanovic L, Doyle FJ 3rd: Clinically relevant hypoglycemia prediction metrics for event mitigation. Diabetes Technol Ther 2012;14:1-9.
7. Iscoe KE, Davey RJ, Fournier PA: Increasing the low-glucose alarm of a continuous glucose monitoring system prevents exercise-induced hypoglycemia without triggering any false alarms. Diabetes Care 2011;34:e109.
8. Buckingham B, Beck RW, Tamborlane WV, Xing D, Kollman C, Fiallo-Scharer R, Mauras N, Ruedy KJ, Tansey M, Weinzimer SA, Wysocki T: Continuous glucose monitoring in children with type 1 diabetes. J Pediatr 2007;151: 388-393.
9. Mauras N, Beck R, Xing D, Ruedy K, Buckingham B, Tansey M, White NH, Weinzimer SA, Tamborlane W, Kollman C: A randomized clinical trial to assess the efficacy and safety of real-time continuous glucose monitoring in the management of type 1 diabetes in young children aged 4 to
10. Rossetti P, Bondia J, Vehi J, Fanelli CG: Estimating plasma glucose from interstitial glucose: the issue of calibration algorithms in commercial continuous glucose monitoring devices. Sensors (Basel) 2010;10:10936-10952.
11. Barceló Rico F, Bondia J, D́ez JL, Rossetti P: A multiple local models approach to accuracy improvement in continuous glucose monitoring. Diabetes Technol Ther 2012;14:74-82.
12. Facchinetti A, Sparacino G, Cobelli C: Enhanced accuracy of continuous glucose monitoring by online extended Kalman filtering. Diabetes Technol Ther 2010;12:353-363.
13. Knobbe EJ, Buckingham B: The extended Kalman filter for continuous glucose monitoring. Diabetes Technol Ther 2005;7:15-27. (Pubitemid 40354573)
14. Aussedat B, Angel M, Gifford R, Klein JC, Wilson GS, Reach G: Interstitial glucose concentration and glycemia: implications for continuous subcutaneous glucose monitoring. Am J Physiol Endocrinol Metab 2000;278:E716-E728. (Pubitemid 30215184)
15. Penfornis A, Personeni E, Borot S: Evolution of devices in diabetes management. Diabetes Technol Ther 2011;13(Suppl 1):S-93-S-102.
16. Voskanyan G, Keenan DB, Mastrototaro JJ, Steil GM: Putative delays in interstitial fluid (ISF) glucose kinetics can be attributed to the glucose sensing systems used to measure them rather than the delay in ISF glucose itself. J Diabetes Sci Technol 2007;1:639-644.
17. Keenan DB, Mastrototaro JJ, Voskanyan G, Steil GM: Delays in minimally invasive continuous glucose monitoring devices: a review of current technology. J Diabetes Sci Technol 2009;3:1207-1214.
18. Nielsen JK, Djurhuus CB, Gravholt CH, Carus AC, Granild-Jensen J, Orskov H, Christiansen JS: Continuous glucose monitoring in interstitial subcutaneous adipose tissue and skeletal muscle reflects excursions in cerebral cortex. Diabetes 2005;54:1635-1639. (Pubitemid 40770752)
19. Goode PV Jr, Brauker JH, Kamath AU, Thrower JP, Carr-Brendel V, inventors: Systems and methods for replacing signal artifacts in a glucose sensor data stream. U.S. Patent 8,010,174. August 30, 2011.
20. Stout PJ, Racchini JR, Hilgers ME, Noujaim SE: Continuous glucose monitoring: key challenges to replacing episodic SMBG. Diabetes Res Clin Pract 2006;74(Suppl 2):S97-S100. (Pubitemid 44917745)
21. Nielsen JK, Gravholt CH, Djurhuus CB, Brandt D, Becker J, Heinemann L, Christiansen JS: Continuous subcutaneous glucose monitoring shows a close correlation between mean glucose and time spent in hyperglycemia and hemoglobin A1c. J Diabetes Sci Technol 2007;1:857-863.
22. Kovatchev BP, Clarke WL, Breton M, Brayman K, McCall A: Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application. Diabetes Technol Ther 2005;7:849-862. (Pubitemid 43133992)
23. Facchinetti A, Sparacino G, Cobelli C: An online self-tunable method to denoise CGM sensor data. IEEE Trans Biomed Eng 2010;57:634-641.
24. Sparacino G, Zanderigo F, Corazza S, Maran A, Facchinetti A, Cobelli C: Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor timeseries. IEEE Trans Biomed Eng 2007;54:931-937. (Pubitemid 46628560)
25. Kohler BU, Hennig C, Orglmeister R: QRS detection using zero crossing counts. Prog Biomed Res 2003;8:138-145.
26. Bachu RG, Kopparthi S, Adapa B, Barkana BD: Voiced/unvoiced decision for speech signals based on zero-crossing rate and energy. In: Elleithy K, ed. Advanced Techniques in Computing Sciences and Software Engineering. Dordrecht, The Netherlands: Springer, 2010:279-282.
27. Keenan DB, Mastrototaro JJ, inventors: System and/or method for glucose sensor calibration. U.S. Patent Application 20100162786. July 1, 2010.
28. Keenan DB, Mastrototaro JJ, Weinzimer SA, Steil GM: Interstitial fluid glucose time-lag correction for real-time continuous glucose monitoring. Biomed Signal Process Control 2013;8:81-89.
29. El Youssef J, Castle JR, Engle JM, Massoud RG, Ward WK: Continuous glucose monitoring in subjects with type 1 diabetes: improvement in accuracy by correcting for background current. Diabetes Technol Ther 2010;12:921-928.
30. Rebrin K, Sheppard NF Jr, Steil GM: Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset. J Diabetes Sci Technol 2010;4:1087-1098.
31. Klonoff DC, Buckingham B, Christiansen JS, Montori VM, Tamborlane WV, Vigersky RA, Wolpert H: Continuous glucose monitoring: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab 2011;96:2968-2979.
32. Mueller JC, Keenan DB, Wang L, Mastrototaro JJ, inventors: Systems and methods for calibrating physiological characteristic sensors. U.S. Patent Application 20100268477. July 23, 2010.
33. Mastrototaro JJ, Gross TM, Shin JJ, inventors: Glucose monitor calibration methods. U.S. Patent 6,424,847. July 23, 2002.
34. Kulcu E, Tamada JA, Reach G, Potts RO, Lesho MJ: Physiological differences between interstitial glucose and blood glucose measured in human subjects. Diabetes Care 2003;26: 2405-2409. (Pubitemid 36993334)
35. Garg SK, Voelmle M, Gottlieb PA: Time lag characterization of two continuous glucose monitoring systems. Diabetes Res Clin Pract 2010;87:348-353.
36. Kovatchev BP, Shields D, Breton M: Graphical and numerical evaluation of continuous glucose sensing time lag. Diabetes Technol Ther 2009;11:139-143.
37. Knapp C, Carter GC: The generalized correlation method for estimation of time delay. IEEE Trans Acoustics Speech Signal Process 1976;24:320-327.
38. Ionescu CM, Hodrea R, De Keyser R: Variable time-delay estimation for anesthesia control during intensive care. IEEE Trans Biomed Eng 2011;58:363-369.
39. Bequette BW: Optimal estimation application to continuous glucose monitoring. In: Proceedings of the 2004 American Control Conference, Vol. 1 Boston, MA: American Automatic Control Council, 2004:958-962.
40. Facchinetti A, Sparacino G, Cobelli C: Online denoising method to handle intraindividual variability of signal-tonoise ratio in continuous glucose monitoring. IEEE Trans Biomed Eng 2011;58:2664-2671.
41. Facchinetti A, Sparacino G, Guerra S, Luijf YM, DeVries JH, Mader JK, Ellmerer M, Benesch C, Heinemann L, Bruttomesso D, Avogaro A, Cobelli C; AP@home Consortium: Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept. Diabetes Care 2013;36: 793-800.
42. Keenan DB, Mastrototaro JJ, Zisser H, Cooper KA, Raghavendhar G, Lee SW, Yusi J, Bailey TS, Brazg RL, Shah RV: Accuracy of the Enlite 6-day glucose sensor with Guardian and Veo calibration algorithms. Diabetes Technol Ther 2012; 14:225-231.
43. Damiano ED, El-Khatib FH, Zheng H, Nathan DM, Russell SJ: A comparative effectiveness analysis of three continuous glucose monitors. Diabetes Care 2013;36:251-259.
44. Mazze RS, Strock E, Borgman S, Wesley D, Stout P, Racchini J: Evaluating the accuracy, reliability, and clinical applicability of continuous glucose monitoring (CGM): is CGM ready for real time Diabetes Technol Ther 2009;11: 11-18.
45. Weinstein RL, Schwartz SL, Brazg RL, Bugler JR, Peyser TA, McGarraugh GV: Accuracy of the 5-day FreeStyle navigator continuous glucose monitoring system comparison with frequent laboratory reference measurements. Diabetes Care 2007;30:1125-1130. (Pubitemid 46684636)
46. Gough DA, Kreutz-Delgado K, Bremer TM: Frequency characterization of blood glucose dynamics. Ann Biomed Eng 2003;31:91-97.
47. Facchinetti A, Favero SD, Sparacino G, Cobelli C: An online failure detection method of the glucose sensor-insulin pump system: improved overnight safety of type-1 diabetic subjects. IEEE Trans Biomed Eng 2013;60:406-416.
48. Bequette BW: Continuous glucose monitoring: real-time algorithms for calibration, filtering, and alarms. J Diabetes Sci Technol 2010;4:404-418.
49. Lu Y, Rajaraman S, Ward WK, Vigersky RA, Reifman J: Predicting human subcutaneous glucose concentration in real time: A universal data-driven approach. Conf Proc IEEE Eng Med Biol Soc 2011;2011:7945-7948.
50. Goode PV Jr, Brauker JH, Kamath AU, inventors: System and methods for processing analyte sensor data. U.S. Patent 6,931,327. August 16, 2005.
51. Steil GM, Rebrin K, inventors: Closed loop system for controlling insulin infusion. U.S. Patent 7,354,420. April 8, 2008.
52. Guerra S, Facchinetti A, Sparacino G, Nicolao GD, Cobelli C: Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach. IEEE Trans Biomed Eng 2012;59:1658-1569.
53. Fox J, Weisberg S, eds.: An R Companion to Applied Regression, 2nd ed. Thousand Oaks, CA: Sage Publications, 2011.