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Journal Abstract Search

282 related items for PubMed ID: 20920428

  • 1. Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset.
    Rebrin K, Sheppard NF, Steil GM.
    J Diabetes Sci Technol; 2010 Sep 01; 4(5):1087-98. PubMed ID: 20920428
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  • 2. Calibration algorithms for continuous glucose monitoring systems based on interstitial fluid sensing.
    Sun T, Liu J, Chen CJ.
    Biosens Bioelectron; 2024 Sep 15; 260():116450. PubMed ID: 38843770
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  • 4. Can interstitial glucose assessment replace blood glucose measurements?
    Rebrin K, Steil GM.
    Diabetes Technol Ther; 2000 Sep 15; 2(3):461-72. PubMed ID: 11467349
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  • 6. Reconstructing by deconvolution plasma glucose from continuous glucose monitoring sensor data.
    Facchinetti A, Sparacino G, Zanderigo F, Cobelli C.
    Conf Proc IEEE Eng Med Biol Soc; 2006 Sep 15; 2006():55-8. PubMed ID: 17946377
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  • 7. Interstitial Fluid Glucose Is Not Just a Shifted-in-Time but a Distorted Mirror of Blood Glucose: Insight from an In Silico Study.
    Cobelli C, Schiavon M, Dalla Man C, Basu A, Basu R.
    Diabetes Technol Ther; 2016 Aug 15; 18(8):505-11. PubMed ID: 27253751
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  • 8. Continuous glucose monitoring in newborn infants: how do errors in calibration measurements affect detected hypoglycemia?
    Thomas F, Signal M, Harris DL, Weston PJ, Harding JE, Shaw GM, Chase JG, CHYLD Study Group.
    J Diabetes Sci Technol; 2014 May 15; 8(3):543-50. PubMed ID: 24876618
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  • 9. Delays in minimally invasive continuous glucose monitoring devices: a review of current technology.
    Keenan DB, Mastrototaro JJ, Voskanyan G, Steil GM.
    J Diabetes Sci Technol; 2009 Sep 01; 3(5):1207-14. PubMed ID: 20144438
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  • 13. Discrepancies Between Blood Glucose and Interstitial Glucose-Technological Artifacts or Physiology: Implications for Selection of the Appropriate Therapeutic Target.
    Siegmund T, Heinemann L, Kolassa R, Thomas A.
    J Diabetes Sci Technol; 2017 Jul 01; 11(4):766-772. PubMed ID: 28322063
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  • 14. Reconstruction of glucose in plasma from interstitial fluid continuous glucose monitoring data: role of sensor calibration.
    Facchinetti A, Sparacino G, Cobelli C.
    J Diabetes Sci Technol; 2007 Sep 01; 1(5):617-23. PubMed ID: 19885129
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  • 15. Complexity of continuous glucose monitoring data in critically ill patients: continuous glucose monitoring devices, sensor locations, and detrended fluctuation analysis methods.
    Signal M, Thomas F, Shaw GM, Chase JG.
    J Diabetes Sci Technol; 2013 Nov 01; 7(6):1492-506. PubMed ID: 24351175
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  • 16. Modeling the error of continuous glucose monitoring sensor data: critical aspects discussed through simulation studies.
    Facchinetti A, Sparacino G, Cobelli C.
    J Diabetes Sci Technol; 2010 Jan 01; 4(1):4-14. PubMed ID: 20167162
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  • 17. Enhanced accuracy of continuous glucose monitoring by online extended kalman filtering.
    Facchinetti A, Sparacino G, Cobelli C.
    Diabetes Technol Ther; 2010 May 01; 12(5):353-63. PubMed ID: 20388045
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  • 18. Continuous glucose monitoring with glucose sensors: calibration and assessment criteria.
    Lodwig V, Heinemann L, Glucose Monitoring Study Group.
    Diabetes Technol Ther; 2003 May 01; 5(4):572-86. PubMed ID: 14511412
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  • 19. Rate-of-Change Dependence of the Performance of Two CGM Systems During Induced Glucose Swings.
    Pleus S, Schoemaker M, Morgenstern K, Schmelzeisen-Redeker G, Haug C, Link M, Zschornack E, Freckmann G.
    J Diabetes Sci Technol; 2015 Jul 01; 9(4):801-7. PubMed ID: 25852074
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  • 20. Assessment of trueness of a glucose monitor using interstitial fluid and whole blood as specimen matrix.
    Vesper HW, Wang PM, Archibold E, Prausnitz MR, Myers GL.
    Diabetes Technol Ther; 2006 Feb 01; 8(1):76-80. PubMed ID: 16472053
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